[2026-04-22T18:56:13.489Z] Running test renaissance-movie-lens_0 ... [2026-04-22T18:56:13.489Z] =============================================== [2026-04-22T18:56:13.489Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 18:56:12 2026 Epoch Time (ms): 1776884172714 [2026-04-22T18:56:13.489Z] variation: NoOptions [2026-04-22T18:56:13.489Z] JVM_OPTIONS: [2026-04-22T18:56:13.489Z] { \ [2026-04-22T18:56:13.489Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T18:56:13.489Z] echo "Nothing to be done for setup."; \ [2026-04-22T18:56:13.489Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1776883320432/renaissance-movie-lens_0"; \ [2026-04-22T18:56:13.489Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1776883320432/renaissance-movie-lens_0"; \ [2026-04-22T18:56:13.489Z] echo ""; echo "TESTING:"; \ [2026-04-22T18:56:13.489Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1776883320432/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T18:56:13.489Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1776883320432/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T18:56:13.489Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T18:56:13.489Z] echo "Nothing to be done for teardown."; \ [2026-04-22T18:56:13.489Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1776883320432/TestTargetResult"; [2026-04-22T18:56:13.489Z] [2026-04-22T18:56:13.489Z] TEST SETUP: [2026-04-22T18:56:13.489Z] Nothing to be done for setup. [2026-04-22T18:56:13.489Z] [2026-04-22T18:56:13.489Z] TESTING: [2026-04-22T18:56:13.489Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-22T18:56:13.489Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_1776883320432/renaissance-movie-lens_0/launcher-185612-17639195785702519188/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-22T18:56:13.489Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-22T18:56:13.489Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-22T18:56:18.854Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T18:56:25.600Z] 18:56:24.403 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T18:56:26.551Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T18:56:27.951Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T18:56:27.951Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T18:56:27.951Z] GC before operation: completed in 123.195 ms, heap usage 140.349 MB -> 75.661 MB. [2026-04-22T18:56:32.101Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:56:35.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:56:38.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:56:41.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:56:42.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:56:44.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:56:46.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:56:46.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:56:46.982Z] 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. [2026-04-22T18:56:47.933Z] The best model improves the baseline by 14.52%. [2026-04-22T18:56:47.933Z] Top recommended movies for user id 72: [2026-04-22T18:56:47.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:56:47.933Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:56:47.933Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:56:47.933Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:56:47.933Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:56:47.933Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20231.568 ms) ====== [2026-04-22T18:56:47.933Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T18:56:47.933Z] GC before operation: completed in 145.356 ms, heap usage 256.793 MB -> 89.408 MB. [2026-04-22T18:56:50.949Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:56:52.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:56:55.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:56:57.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:56:59.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:57:00.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:57:02.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:57:03.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:57:03.862Z] 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. [2026-04-22T18:57:04.817Z] The best model improves the baseline by 14.52%. [2026-04-22T18:57:04.817Z] Top recommended movies for user id 72: [2026-04-22T18:57:04.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:57:04.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:57:04.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:57:04.817Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:57:04.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:57:04.817Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16613.766 ms) ====== [2026-04-22T18:57:04.817Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T18:57:04.817Z] GC before operation: completed in 155.496 ms, heap usage 374.195 MB -> 88.751 MB. [2026-04-22T18:57:06.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:57:09.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:57:11.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:57:13.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:57:15.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:57:17.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:57:18.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:57:20.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:57:20.515Z] 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. [2026-04-22T18:57:20.515Z] The best model improves the baseline by 14.52%. [2026-04-22T18:57:20.515Z] Top recommended movies for user id 72: [2026-04-22T18:57:20.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:57:20.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:57:20.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:57:20.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:57:20.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:57:20.515Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15910.583 ms) ====== [2026-04-22T18:57:20.515Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T18:57:20.515Z] GC before operation: completed in 116.348 ms, heap usage 294.839 MB -> 89.332 MB. [2026-04-22T18:57:23.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:57:25.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:57:27.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:57:29.071Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:57:31.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:57:31.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:57:33.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:57:34.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:57:34.886Z] 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. [2026-04-22T18:57:34.886Z] The best model improves the baseline by 14.52%. [2026-04-22T18:57:34.886Z] Top recommended movies for user id 72: [2026-04-22T18:57:34.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:57:34.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:57:34.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:57:34.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:57:34.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:57:34.886Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14514.203 ms) ====== [2026-04-22T18:57:34.886Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T18:57:35.839Z] GC before operation: completed in 166.493 ms, heap usage 700.786 MB -> 93.348 MB. [2026-04-22T18:57:37.794Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:57:39.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:57:42.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:57:44.726Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:57:46.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:57:47.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:57:49.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:57:50.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:57:50.559Z] 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. [2026-04-22T18:57:51.510Z] The best model improves the baseline by 14.52%. [2026-04-22T18:57:51.510Z] Top recommended movies for user id 72: [2026-04-22T18:57:51.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:57:51.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:57:51.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:57:51.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:57:51.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:57:51.510Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15823.209 ms) ====== [2026-04-22T18:57:51.510Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T18:57:51.510Z] GC before operation: completed in 136.899 ms, heap usage 152.593 MB -> 89.245 MB. [2026-04-22T18:57:53.464Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:57:55.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:57:58.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:58:00.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:58:01.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:58:03.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:58:04.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:58:06.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:58:06.210Z] 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. [2026-04-22T18:58:06.210Z] The best model improves the baseline by 14.52%. [2026-04-22T18:58:06.210Z] Top recommended movies for user id 72: [2026-04-22T18:58:06.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:58:06.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:58:06.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:58:06.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:58:06.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:58:06.210Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15002.822 ms) ====== [2026-04-22T18:58:06.210Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T18:58:06.210Z] GC before operation: completed in 140.517 ms, heap usage 467.290 MB -> 90.109 MB. [2026-04-22T18:58:08.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:58:11.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:58:12.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:58:15.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:58:16.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:58:17.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:58:19.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:58:20.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:58:21.624Z] 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. [2026-04-22T18:58:21.624Z] The best model improves the baseline by 14.52%. [2026-04-22T18:58:21.624Z] Top recommended movies for user id 72: [2026-04-22T18:58:21.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:58:21.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:58:21.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:58:21.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:58:21.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:58:21.624Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15017.593 ms) ====== [2026-04-22T18:58:21.624Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T18:58:21.624Z] GC before operation: completed in 134.658 ms, heap usage 371.507 MB -> 89.884 MB. [2026-04-22T18:58:23.719Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:58:25.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:58:27.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:58:29.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:58:31.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:58:32.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:58:33.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:58:35.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:58:35.405Z] 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. [2026-04-22T18:58:35.405Z] The best model improves the baseline by 14.52%. [2026-04-22T18:58:35.405Z] Top recommended movies for user id 72: [2026-04-22T18:58:35.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:58:35.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:58:35.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:58:35.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:58:35.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:58:35.405Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13933.092 ms) ====== [2026-04-22T18:58:35.405Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T18:58:35.405Z] GC before operation: completed in 127.490 ms, heap usage 297.945 MB -> 90.043 MB. [2026-04-22T18:58:38.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:58:40.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:58:42.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:58:45.342Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:58:46.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:58:47.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:58:49.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:58:50.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:58:50.154Z] 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. [2026-04-22T18:58:50.154Z] The best model improves the baseline by 14.52%. [2026-04-22T18:58:51.108Z] Top recommended movies for user id 72: [2026-04-22T18:58:51.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:58:51.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:58:51.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:58:51.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:58:51.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:58:51.108Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14949.636 ms) ====== [2026-04-22T18:58:51.108Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T18:58:51.108Z] GC before operation: completed in 116.290 ms, heap usage 101.391 MB -> 89.622 MB. [2026-04-22T18:58:53.086Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:58:55.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:58:56.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:59:00.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:59:00.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:59:01.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:59:04.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:59:05.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:59:05.522Z] 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. [2026-04-22T18:59:05.522Z] The best model improves the baseline by 14.52%. [2026-04-22T18:59:05.522Z] Top recommended movies for user id 72: [2026-04-22T18:59:05.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:59:05.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:59:05.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:59:05.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:59:05.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:59:05.522Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14870.473 ms) ====== [2026-04-22T18:59:05.522Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T18:59:05.522Z] GC before operation: completed in 134.174 ms, heap usage 447.740 MB -> 90.332 MB. [2026-04-22T18:59:07.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:59:10.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:59:12.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:59:14.398Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:59:16.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:59:17.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:59:19.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:59:20.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:59:20.215Z] 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. [2026-04-22T18:59:20.215Z] The best model improves the baseline by 14.52%. [2026-04-22T18:59:20.215Z] Top recommended movies for user id 72: [2026-04-22T18:59:20.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:59:20.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:59:20.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:59:20.215Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:59:20.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:59:20.215Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14769.780 ms) ====== [2026-04-22T18:59:20.215Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T18:59:21.166Z] GC before operation: completed in 128.470 ms, heap usage 214.405 MB -> 89.680 MB. [2026-04-22T18:59:23.233Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:59:25.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:59:27.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:59:29.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:59:30.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:59:32.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:59:32.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:59:33.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:59:33.907Z] 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. [2026-04-22T18:59:33.907Z] The best model improves the baseline by 14.52%. [2026-04-22T18:59:34.858Z] Top recommended movies for user id 72: [2026-04-22T18:59:34.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:59:34.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:59:34.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:59:34.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:59:34.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:59:34.859Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13770.026 ms) ====== [2026-04-22T18:59:34.859Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T18:59:34.859Z] GC before operation: completed in 147.492 ms, heap usage 541.455 MB -> 90.413 MB. [2026-04-22T18:59:36.813Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:59:38.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:59:40.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:59:43.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:59:44.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T18:59:45.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T18:59:47.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T18:59:48.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T18:59:49.522Z] 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. [2026-04-22T18:59:49.522Z] The best model improves the baseline by 14.52%. [2026-04-22T18:59:49.522Z] Top recommended movies for user id 72: [2026-04-22T18:59:49.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T18:59:49.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T18:59:49.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T18:59:49.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T18:59:49.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T18:59:49.522Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14804.891 ms) ====== [2026-04-22T18:59:49.522Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T18:59:49.522Z] GC before operation: completed in 137.141 ms, heap usage 445.090 MB -> 90.364 MB. [2026-04-22T18:59:51.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T18:59:53.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T18:59:55.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T18:59:57.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T18:59:59.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:00:00.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:00:02.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:00:03.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:00:04.560Z] 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. [2026-04-22T19:00:04.560Z] The best model improves the baseline by 14.52%. [2026-04-22T19:00:04.560Z] Top recommended movies for user id 72: [2026-04-22T19:00:04.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:00:04.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:00:04.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:00:04.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:00:04.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:00:04.560Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14766.798 ms) ====== [2026-04-22T19:00:04.560Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T19:00:04.560Z] GC before operation: completed in 143.231 ms, heap usage 466.683 MB -> 90.204 MB. [2026-04-22T19:00:06.533Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T19:00:08.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T19:00:11.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T19:00:13.460Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T19:00:14.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:00:15.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:00:17.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:00:18.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:00:19.245Z] 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. [2026-04-22T19:00:19.245Z] The best model improves the baseline by 14.52%. [2026-04-22T19:00:19.245Z] Top recommended movies for user id 72: [2026-04-22T19:00:19.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:00:19.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:00:19.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:00:19.245Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:00:19.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:00:19.245Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14691.269 ms) ====== [2026-04-22T19:00:19.246Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T19:00:19.246Z] GC before operation: completed in 122.400 ms, heap usage 99.339 MB -> 89.876 MB. [2026-04-22T19:00:21.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T19:00:23.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T19:00:25.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T19:00:27.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T19:00:28.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:00:30.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:00:31.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:00:31.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:00:32.941Z] 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. [2026-04-22T19:00:32.941Z] The best model improves the baseline by 14.52%. [2026-04-22T19:00:32.941Z] Top recommended movies for user id 72: [2026-04-22T19:00:32.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:00:32.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:00:32.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:00:32.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:00:32.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:00:32.941Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13359.812 ms) ====== [2026-04-22T19:00:32.941Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T19:00:32.941Z] GC before operation: completed in 124.763 ms, heap usage 708.669 MB -> 93.850 MB. [2026-04-22T19:00:34.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T19:00:36.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T19:00:41.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T19:00:41.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T19:00:41.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:00:43.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:00:44.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:00:45.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:00:46.708Z] 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. [2026-04-22T19:00:46.708Z] The best model improves the baseline by 14.52%. [2026-04-22T19:00:46.708Z] Top recommended movies for user id 72: [2026-04-22T19:00:46.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:00:46.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:00:46.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:00:46.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:00:46.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:00:46.708Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13765.394 ms) ====== [2026-04-22T19:00:46.708Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T19:00:46.708Z] GC before operation: completed in 147.413 ms, heap usage 290.318 MB -> 90.332 MB. [2026-04-22T19:00:49.358Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T19:00:51.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T19:00:53.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T19:00:55.250Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T19:00:57.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:00:58.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:01:00.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:01:01.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:01:01.076Z] 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. [2026-04-22T19:01:01.076Z] The best model improves the baseline by 14.52%. [2026-04-22T19:01:02.033Z] Top recommended movies for user id 72: [2026-04-22T19:01:02.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:01:02.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:01:02.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:01:02.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:01:02.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:01:02.033Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15039.878 ms) ====== [2026-04-22T19:01:02.033Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T19:01:02.033Z] GC before operation: completed in 123.511 ms, heap usage 154.469 MB -> 89.742 MB. [2026-04-22T19:01:04.026Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T19:01:06.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T19:01:09.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T19:01:10.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T19:01:11.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:01:12.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:01:14.819Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:01:15.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:01:15.772Z] 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. [2026-04-22T19:01:15.772Z] The best model improves the baseline by 14.52%. [2026-04-22T19:01:16.725Z] Top recommended movies for user id 72: [2026-04-22T19:01:16.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:01:16.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:01:16.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:01:16.725Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:01:16.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:01:16.725Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14473.448 ms) ====== [2026-04-22T19:01:16.725Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T19:01:16.725Z] GC before operation: completed in 119.541 ms, heap usage 389.531 MB -> 90.326 MB. [2026-04-22T19:01:18.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T19:01:20.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T19:01:22.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T19:01:24.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T19:01:26.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T19:01:28.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T19:01:29.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T19:01:30.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T19:01:31.100Z] 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. [2026-04-22T19:01:31.100Z] The best model improves the baseline by 14.52%. [2026-04-22T19:01:31.100Z] Top recommended movies for user id 72: [2026-04-22T19:01:31.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T19:01:31.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T19:01:31.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T19:01:31.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T19:01:31.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T19:01:31.101Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14459.000 ms) ====== [2026-04-22T19:01:31.101Z] ----------------------------------- [2026-04-22T19:01:31.101Z] renaissance-movie-lens_0_PASSED [2026-04-22T19:01:31.101Z] ----------------------------------- [2026-04-22T19:01:31.101Z] [2026-04-22T19:01:31.101Z] TEST TEARDOWN: [2026-04-22T19:01:31.101Z] Nothing to be done for teardown. [2026-04-22T19:01:31.101Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 19:01:30 2026 Epoch Time (ms): 1776884490850