renaissance-movie-lens_0
[2026-04-23T01:14:57.128Z] Running test renaissance-movie-lens_0 ...
[2026-04-23T01:14:57.128Z] ===============================================
[2026-04-23T01:14:57.128Z] renaissance-movie-lens_0 Start Time: Thu Apr 23 01:14:56 2026 Epoch Time (ms): 1776906896354
[2026-04-23T01:14:57.128Z] variation: NoOptions
[2026-04-23T01:14:57.128Z] JVM_OPTIONS:
[2026-04-23T01:14:57.128Z] { \
[2026-04-23T01:14:57.128Z] echo ""; echo "TEST SETUP:"; \
[2026-04-23T01:14:57.128Z] echo "Nothing to be done for setup."; \
[2026-04-23T01:14:57.128Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17769057993803/renaissance-movie-lens_0"; \
[2026-04-23T01:14:57.128Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17769057993803/renaissance-movie-lens_0"; \
[2026-04-23T01:14:57.128Z] echo ""; echo "TESTING:"; \
[2026-04-23T01:14:57.128Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17769057993803/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-23T01:14:57.128Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17769057993803/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-23T01:14:57.128Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-23T01:14:57.128Z] echo "Nothing to be done for teardown."; \
[2026-04-23T01:14:57.128Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17769057993803/TestTargetResult";
[2026-04-23T01:14:57.128Z]
[2026-04-23T01:14:57.128Z] TEST SETUP:
[2026-04-23T01:14:57.128Z] Nothing to be done for setup.
[2026-04-23T01:14:57.128Z]
[2026-04-23T01:14:57.128Z] TESTING:
[2026-04-23T01:14:58.089Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-23T01:14:58.089Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17769057993803/renaissance-movie-lens_0/launcher-011456-8649862628210511247/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-23T01:14:58.089Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-23T01:14:58.089Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-23T01:15:06.285Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-23T01:15:18.027Z] 01:15:16.599 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-23T01:15:20.093Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-23T01:15:20.093Z] Training: 60056, validation: 20285, test: 19854
[2026-04-23T01:15:20.093Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-23T01:15:20.093Z] GC before operation: completed in 135.086 ms, heap usage 261.160 MB -> 75.660 MB.
[2026-04-23T01:15:30.103Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:15:33.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:15:39.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:15:43.572Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:15:45.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:15:47.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:15:49.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:15:51.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:15:52.540Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:15:52.540Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:15:52.540Z] Top recommended movies for user id 72:
[2026-04-23T01:15:52.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:15:52.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:15:52.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:15:52.540Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:15:52.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:15:52.540Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32194.617 ms) ======
[2026-04-23T01:15:52.540Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-23T01:15:52.540Z] GC before operation: completed in 180.789 ms, heap usage 204.672 MB -> 96.505 MB.
[2026-04-23T01:15:56.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:15:59.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:16:04.119Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:16:07.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:16:09.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:16:11.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:16:13.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:16:15.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:16:15.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:16:15.106Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:16:16.064Z] Top recommended movies for user id 72:
[2026-04-23T01:16:16.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:16:16.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:16:16.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:16:16.064Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:16:16.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:16:16.064Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23014.786 ms) ======
[2026-04-23T01:16:16.064Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-23T01:16:16.064Z] GC before operation: completed in 150.865 ms, heap usage 366.777 MB -> 88.560 MB.
[2026-04-23T01:16:19.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:16:22.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:16:25.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:16:28.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:16:30.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:16:31.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:16:33.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:16:35.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:16:35.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:16:35.847Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:16:35.847Z] Top recommended movies for user id 72:
[2026-04-23T01:16:35.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:16:35.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:16:35.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:16:35.847Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:16:35.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:16:35.847Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20257.116 ms) ======
[2026-04-23T01:16:35.847Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-23T01:16:35.847Z] GC before operation: completed in 126.329 ms, heap usage 410.021 MB -> 89.259 MB.
[2026-04-23T01:16:38.885Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:16:41.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:16:45.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:16:48.220Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:16:50.201Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:16:52.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:16:54.166Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:16:55.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:16:56.090Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:16:56.090Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:16:56.090Z] Top recommended movies for user id 72:
[2026-04-23T01:16:56.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:16:56.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:16:56.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:16:56.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:16:56.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:16:56.090Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19611.772 ms) ======
[2026-04-23T01:16:56.090Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-23T01:16:56.090Z] GC before operation: completed in 145.675 ms, heap usage 429.867 MB -> 89.630 MB.
[2026-04-23T01:16:59.148Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:17:02.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:17:05.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:17:08.282Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:17:09.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:17:11.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:17:12.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:17:13.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:17:14.844Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:17:14.844Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:17:14.844Z] Top recommended movies for user id 72:
[2026-04-23T01:17:14.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:17:14.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:17:14.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:17:14.844Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:17:14.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:17:14.844Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18692.580 ms) ======
[2026-04-23T01:17:14.844Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-23T01:17:14.844Z] GC before operation: completed in 126.820 ms, heap usage 364.528 MB -> 89.551 MB.
[2026-04-23T01:17:17.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:17:20.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:17:22.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:17:25.967Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:17:27.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:17:28.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:17:30.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:17:31.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:17:32.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:17:32.805Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:17:32.805Z] Top recommended movies for user id 72:
[2026-04-23T01:17:32.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:17:32.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:17:32.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:17:32.805Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:17:32.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:17:32.805Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17684.300 ms) ======
[2026-04-23T01:17:32.805Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-23T01:17:32.805Z] GC before operation: completed in 151.989 ms, heap usage 474.385 MB -> 89.980 MB.
[2026-04-23T01:17:35.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:17:37.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:17:40.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:17:43.904Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:17:44.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:17:46.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:17:47.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:17:49.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:17:49.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:17:49.784Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:17:49.784Z] Top recommended movies for user id 72:
[2026-04-23T01:17:49.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:17:49.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:17:49.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:17:49.784Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:17:49.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:17:49.784Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17462.719 ms) ======
[2026-04-23T01:17:49.784Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-23T01:17:50.749Z] GC before operation: completed in 129.365 ms, heap usage 432.480 MB -> 89.869 MB.
[2026-04-23T01:17:52.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:17:55.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:17:58.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:18:01.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:18:02.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:18:04.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:18:05.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:18:07.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:18:07.728Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:18:07.728Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:18:07.728Z] Top recommended movies for user id 72:
[2026-04-23T01:18:07.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:18:07.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:18:07.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:18:07.728Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:18:07.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:18:07.728Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17318.218 ms) ======
[2026-04-23T01:18:07.728Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-23T01:18:07.728Z] GC before operation: completed in 129.249 ms, heap usage 358.163 MB -> 90.005 MB.
[2026-04-23T01:18:10.537Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:18:13.587Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:18:15.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:18:17.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:18:19.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:18:20.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:18:22.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:18:24.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:18:24.416Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:18:24.416Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:18:24.416Z] Top recommended movies for user id 72:
[2026-04-23T01:18:24.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:18:24.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:18:24.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:18:24.417Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:18:24.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:18:24.417Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16550.587 ms) ======
[2026-04-23T01:18:24.417Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-23T01:18:24.417Z] GC before operation: completed in 135.885 ms, heap usage 508.469 MB -> 90.129 MB.
[2026-04-23T01:18:27.464Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:18:31.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:18:32.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:18:35.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:18:36.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:18:37.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:18:39.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:18:40.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:18:41.144Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:18:41.144Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:18:41.144Z] Top recommended movies for user id 72:
[2026-04-23T01:18:41.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:18:41.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:18:41.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:18:41.144Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:18:41.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:18:41.144Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16520.924 ms) ======
[2026-04-23T01:18:41.144Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-23T01:18:41.144Z] GC before operation: completed in 187.685 ms, heap usage 429.515 MB -> 90.183 MB.
[2026-04-23T01:18:44.182Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:18:46.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:18:49.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:18:52.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:18:53.244Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:18:55.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:18:57.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:18:58.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:18:59.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:18:59.128Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:18:59.128Z] Top recommended movies for user id 72:
[2026-04-23T01:18:59.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:18:59.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:18:59.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:18:59.128Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:18:59.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:18:59.128Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17720.401 ms) ======
[2026-04-23T01:18:59.128Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-23T01:18:59.128Z] GC before operation: completed in 145.758 ms, heap usage 411.906 MB -> 89.803 MB.
[2026-04-23T01:19:01.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:19:04.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:19:06.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:19:09.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:19:11.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:19:12.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:19:14.837Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:19:16.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:19:16.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:19:16.813Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:19:16.813Z] Top recommended movies for user id 72:
[2026-04-23T01:19:16.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:19:16.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:19:16.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:19:16.813Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:19:16.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:19:16.813Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17820.668 ms) ======
[2026-04-23T01:19:16.813Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-23T01:19:16.813Z] GC before operation: completed in 138.002 ms, heap usage 547.925 MB -> 93.575 MB.
[2026-04-23T01:19:19.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:19:22.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:19:24.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:19:27.914Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:19:29.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:19:30.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:19:32.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:19:34.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:19:34.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:19:34.798Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:19:34.798Z] Top recommended movies for user id 72:
[2026-04-23T01:19:34.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:19:34.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:19:34.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:19:34.798Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:19:34.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:19:34.798Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17805.349 ms) ======
[2026-04-23T01:19:34.798Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-23T01:19:34.798Z] GC before operation: completed in 141.243 ms, heap usage 431.214 MB -> 90.306 MB.
[2026-04-23T01:19:37.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:19:40.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:19:42.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:19:45.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:19:47.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:19:48.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:19:51.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:19:52.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:19:52.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:19:52.548Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:19:52.548Z] Top recommended movies for user id 72:
[2026-04-23T01:19:52.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:19:52.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:19:52.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:19:52.548Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:19:52.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:19:52.548Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17546.583 ms) ======
[2026-04-23T01:19:52.548Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-23T01:19:52.548Z] GC before operation: completed in 136.585 ms, heap usage 450.708 MB -> 90.029 MB.
[2026-04-23T01:19:55.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:19:57.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:20:00.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:20:03.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:20:04.626Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:20:06.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:20:07.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:20:09.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:20:09.667Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:20:09.667Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:20:09.667Z] Top recommended movies for user id 72:
[2026-04-23T01:20:09.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:20:09.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:20:09.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:20:09.667Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:20:09.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:20:09.667Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17430.934 ms) ======
[2026-04-23T01:20:09.667Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-23T01:20:10.625Z] GC before operation: completed in 149.850 ms, heap usage 454.643 MB -> 90.262 MB.
[2026-04-23T01:20:12.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:20:15.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:20:18.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:20:20.681Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:20:22.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:20:23.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:20:25.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:20:27.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:20:27.569Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:20:27.569Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:20:27.569Z] Top recommended movies for user id 72:
[2026-04-23T01:20:27.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:20:27.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:20:27.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:20:27.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:20:27.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:20:27.569Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17374.905 ms) ======
[2026-04-23T01:20:27.569Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-23T01:20:27.569Z] GC before operation: completed in 144.699 ms, heap usage 163.384 MB -> 90.861 MB.
[2026-04-23T01:20:30.612Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:20:32.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:20:35.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:20:37.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:20:40.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:20:41.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:20:42.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:20:43.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:20:44.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:20:44.207Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:20:44.207Z] Top recommended movies for user id 72:
[2026-04-23T01:20:44.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:20:44.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:20:44.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:20:44.207Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:20:44.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:20:44.207Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16311.519 ms) ======
[2026-04-23T01:20:44.207Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-23T01:20:44.207Z] GC before operation: completed in 133.357 ms, heap usage 172.418 MB -> 89.935 MB.
[2026-04-23T01:20:47.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:20:49.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:20:54.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:20:54.718Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:20:55.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:20:57.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:20:59.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:21:00.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:21:00.610Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:21:00.610Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:21:01.568Z] Top recommended movies for user id 72:
[2026-04-23T01:21:01.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:21:01.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:21:01.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:21:01.568Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:21:01.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:21:01.568Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16971.035 ms) ======
[2026-04-23T01:21:01.568Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-23T01:21:01.568Z] GC before operation: completed in 138.229 ms, heap usage 201.055 MB -> 89.708 MB.
[2026-04-23T01:21:03.542Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:21:06.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:21:09.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:21:12.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:21:13.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:21:15.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:21:16.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:21:21.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:21:21.037Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:21:21.037Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:21:21.037Z] Top recommended movies for user id 72:
[2026-04-23T01:21:21.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:21:21.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:21:21.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:21:21.037Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:21:21.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:21:21.037Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18209.945 ms) ======
[2026-04-23T01:21:21.037Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-23T01:21:21.037Z] GC before operation: completed in 125.688 ms, heap usage 120.551 MB -> 89.780 MB.
[2026-04-23T01:21:23.021Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-23T01:21:24.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-23T01:21:28.071Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-23T01:21:31.116Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-23T01:21:33.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-23T01:21:34.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-23T01:21:36.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-23T01:21:37.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-23T01:21:37.502Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-23T01:21:37.502Z] The best model improves the baseline by 14.52%.
[2026-04-23T01:21:38.483Z] Top recommended movies for user id 72:
[2026-04-23T01:21:38.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-23T01:21:38.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-23T01:21:38.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-23T01:21:38.483Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-23T01:21:38.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-23T01:21:38.483Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18482.490 ms) ======
[2026-04-23T01:21:39.442Z] -----------------------------------
[2026-04-23T01:21:39.442Z] renaissance-movie-lens_0_PASSED
[2026-04-23T01:21:39.442Z] -----------------------------------
[2026-04-23T01:21:39.442Z]
[2026-04-23T01:21:39.442Z] TEST TEARDOWN:
[2026-04-23T01:21:39.442Z] Nothing to be done for teardown.
[2026-04-23T01:21:39.442Z] renaissance-movie-lens_0 Finish Time: Thu Apr 23 01:21:38 2026 Epoch Time (ms): 1776907298747