[2026-04-22T01:56:51.041Z] Running test renaissance-movie-lens_0 ... [2026-04-22T01:56:51.041Z] =============================================== [2026-04-22T01:56:51.041Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 01:56:50 2026 Epoch Time (ms): 1776823010834 [2026-04-22T01:56:51.041Z] variation: NoOptions [2026-04-22T01:56:51.041Z] JVM_OPTIONS: [2026-04-22T01:56:51.041Z] { \ [2026-04-22T01:56:51.041Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T01:56:51.041Z] echo "Nothing to be done for setup."; \ [2026-04-22T01:56:51.041Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768217773607/renaissance-movie-lens_0"; \ [2026-04-22T01:56:51.041Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768217773607/renaissance-movie-lens_0"; \ [2026-04-22T01:56:51.041Z] echo ""; echo "TESTING:"; \ [2026-04-22T01:56:51.041Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768217773607/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T01:56:51.041Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768217773607/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T01:56:51.041Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T01:56:51.041Z] echo "Nothing to be done for teardown."; \ [2026-04-22T01:56:51.041Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768217773607/TestTargetResult"; [2026-04-22T01:56:51.041Z] [2026-04-22T01:56:51.041Z] TEST SETUP: [2026-04-22T01:56:51.041Z] Nothing to be done for setup. [2026-04-22T01:56:51.041Z] [2026-04-22T01:56:51.041Z] TESTING: [2026-04-22T01:56:51.793Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-22T01:56:51.793Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17768217773607/renaissance-movie-lens_0/launcher-015651-6918708125542382069/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-22T01:56:51.793Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-22T01:56:51.793Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-22T01:56:59.296Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T01:57:08.506Z] 01:57:08.315 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T01:57:11.926Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T01:57:12.279Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T01:57:12.280Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T01:57:12.637Z] GC before operation: completed in 153.285 ms, heap usage 349.185 MB -> 75.641 MB. [2026-04-22T01:57:21.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:57:25.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:57:31.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:57:34.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:57:36.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:57:38.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:57:41.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:57:43.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:57:43.661Z] 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. [2026-04-22T01:57:44.031Z] The best model improves the baseline by 14.52%. [2026-04-22T01:57:44.413Z] Top recommended movies for user id 72: [2026-04-22T01:57:44.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:57:44.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:57:44.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:57:44.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:57:44.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:57:44.413Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31677.196 ms) ====== [2026-04-22T01:57:44.413Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T01:57:44.413Z] GC before operation: completed in 153.045 ms, heap usage 434.745 MB -> 89.656 MB. [2026-04-22T01:57:48.536Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:57:52.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:57:55.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:57:58.876Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:58:03.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:58:03.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:58:06.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:58:11.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:58:11.793Z] 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. [2026-04-22T01:58:11.793Z] The best model improves the baseline by 14.52%. [2026-04-22T01:58:11.793Z] Top recommended movies for user id 72: [2026-04-22T01:58:11.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:58:11.793Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:58:11.793Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:58:11.793Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:58:11.793Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:58:11.793Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23852.342 ms) ====== [2026-04-22T01:58:11.793Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T01:58:11.793Z] GC before operation: completed in 140.555 ms, heap usage 423.463 MB -> 88.543 MB. [2026-04-22T01:58:13.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:58:15.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:58:18.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:58:21.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:58:23.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:58:26.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:58:27.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:58:29.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:58:30.017Z] 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. [2026-04-22T01:58:30.017Z] The best model improves the baseline by 14.52%. [2026-04-22T01:58:30.368Z] Top recommended movies for user id 72: [2026-04-22T01:58:30.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:58:30.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:58:30.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:58:30.368Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:58:30.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:58:30.368Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21968.717 ms) ====== [2026-04-22T01:58:30.368Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T01:58:30.368Z] GC before operation: completed in 143.032 ms, heap usage 162.408 MB -> 89.034 MB. [2026-04-22T01:58:33.500Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:58:36.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:58:39.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:58:42.955Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:58:44.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:58:46.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:58:48.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:58:50.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:58:50.151Z] 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. [2026-04-22T01:58:50.151Z] The best model improves the baseline by 14.52%. [2026-04-22T01:58:50.501Z] Top recommended movies for user id 72: [2026-04-22T01:58:50.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:58:50.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:58:50.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:58:50.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:58:50.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:58:50.501Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19958.236 ms) ====== [2026-04-22T01:58:50.501Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T01:58:50.501Z] GC before operation: completed in 150.665 ms, heap usage 289.680 MB -> 89.469 MB. [2026-04-22T01:58:53.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:58:56.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:59:00.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:59:03.244Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:59:05.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:59:06.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:59:08.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:59:10.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:59:10.723Z] 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. [2026-04-22T01:59:11.084Z] The best model improves the baseline by 14.52%. [2026-04-22T01:59:11.084Z] Top recommended movies for user id 72: [2026-04-22T01:59:11.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:59:11.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:59:11.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:59:11.084Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:59:11.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:59:11.084Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20534.082 ms) ====== [2026-04-22T01:59:11.084Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T01:59:11.436Z] GC before operation: completed in 143.040 ms, heap usage 198.030 MB -> 89.200 MB. [2026-04-22T01:59:14.563Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:59:17.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:59:20.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:59:23.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:59:25.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:59:27.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:59:28.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:59:30.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:59:30.960Z] 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. [2026-04-22T01:59:30.960Z] The best model improves the baseline by 14.52%. [2026-04-22T01:59:31.385Z] Top recommended movies for user id 72: [2026-04-22T01:59:31.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:59:31.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:59:31.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:59:31.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:59:31.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:59:31.385Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19904.627 ms) ====== [2026-04-22T01:59:31.385Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T01:59:31.385Z] GC before operation: completed in 134.485 ms, heap usage 94.050 MB -> 89.964 MB. [2026-04-22T01:59:34.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:59:37.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T01:59:40.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T01:59:43.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T01:59:45.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T01:59:47.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T01:59:49.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T01:59:51.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T01:59:51.801Z] 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. [2026-04-22T01:59:51.801Z] The best model improves the baseline by 14.52%. [2026-04-22T01:59:51.801Z] Top recommended movies for user id 72: [2026-04-22T01:59:51.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T01:59:51.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T01:59:51.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T01:59:51.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T01:59:51.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T01:59:51.801Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20538.168 ms) ====== [2026-04-22T01:59:51.801Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T01:59:52.181Z] GC before operation: completed in 151.370 ms, heap usage 519.288 MB -> 89.944 MB. [2026-04-22T01:59:55.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T01:59:58.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:00:00.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:00:04.109Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:00:05.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:00:07.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:00:08.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:00:10.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:00:11.128Z] 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. [2026-04-22T02:00:11.128Z] The best model improves the baseline by 14.52%. [2026-04-22T02:00:11.128Z] Top recommended movies for user id 72: [2026-04-22T02:00:11.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:00:11.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:00:11.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:00:11.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:00:11.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:00:11.128Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19260.033 ms) ====== [2026-04-22T02:00:11.128Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T02:00:11.481Z] GC before operation: completed in 139.955 ms, heap usage 292.542 MB -> 89.935 MB. [2026-04-22T02:00:14.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:00:17.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:00:20.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:00:23.266Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:00:25.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:00:26.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:00:29.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:00:30.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:00:30.857Z] 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. [2026-04-22T02:00:30.857Z] The best model improves the baseline by 14.52%. [2026-04-22T02:00:31.221Z] Top recommended movies for user id 72: [2026-04-22T02:00:31.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:00:31.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:00:31.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:00:31.221Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:00:31.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:00:31.221Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19828.129 ms) ====== [2026-04-22T02:00:31.221Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T02:00:31.578Z] GC before operation: completed in 136.272 ms, heap usage 372.971 MB -> 89.784 MB. [2026-04-22T02:00:34.741Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:00:37.272Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:00:40.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:00:43.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:00:45.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:00:47.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:00:48.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:00:50.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:00:51.080Z] 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. [2026-04-22T02:00:51.080Z] The best model improves the baseline by 14.52%. [2026-04-22T02:00:51.430Z] Top recommended movies for user id 72: [2026-04-22T02:00:51.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:00:51.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:00:51.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:00:51.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:00:51.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:00:51.430Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19988.676 ms) ====== [2026-04-22T02:00:51.430Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T02:00:51.430Z] GC before operation: completed in 136.840 ms, heap usage 359.413 MB -> 90.113 MB. [2026-04-22T02:00:54.582Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:00:57.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:01:00.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:01:04.093Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:01:05.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:01:07.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:01:09.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:01:12.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:01:12.112Z] 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. [2026-04-22T02:01:12.112Z] The best model improves the baseline by 14.52%. [2026-04-22T02:01:12.112Z] Top recommended movies for user id 72: [2026-04-22T02:01:12.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:01:12.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:01:12.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:01:12.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:01:12.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:01:12.112Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20646.856 ms) ====== [2026-04-22T02:01:12.112Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T02:01:12.464Z] GC before operation: completed in 141.279 ms, heap usage 404.104 MB -> 89.789 MB. [2026-04-22T02:01:15.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:01:18.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:01:21.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:01:24.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:01:26.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:01:28.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:01:29.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:01:31.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:01:31.732Z] 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. [2026-04-22T02:01:32.093Z] The best model improves the baseline by 14.52%. [2026-04-22T02:01:32.093Z] Top recommended movies for user id 72: [2026-04-22T02:01:32.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:01:32.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:01:32.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:01:32.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:01:32.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:01:32.093Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19864.162 ms) ====== [2026-04-22T02:01:32.093Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T02:01:32.452Z] GC before operation: completed in 136.922 ms, heap usage 293.128 MB -> 89.875 MB. [2026-04-22T02:01:35.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:01:38.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:01:41.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:01:44.416Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:01:46.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:01:48.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:01:50.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:01:52.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:01:52.638Z] 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. [2026-04-22T02:01:52.638Z] The best model improves the baseline by 14.52%. [2026-04-22T02:01:52.638Z] Top recommended movies for user id 72: [2026-04-22T02:01:52.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:01:52.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:01:52.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:01:52.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:01:52.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:01:52.638Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20361.354 ms) ====== [2026-04-22T02:01:52.638Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T02:01:52.995Z] GC before operation: completed in 137.830 ms, heap usage 151.686 MB -> 89.748 MB. [2026-04-22T02:01:56.129Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:01:58.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:02:01.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:02:04.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:02:05.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:02:08.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:02:10.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:02:12.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:02:12.016Z] 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. [2026-04-22T02:02:12.016Z] The best model improves the baseline by 14.52%. [2026-04-22T02:02:12.381Z] Top recommended movies for user id 72: [2026-04-22T02:02:12.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:02:12.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:02:12.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:02:12.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:02:12.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:02:12.381Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19400.383 ms) ====== [2026-04-22T02:02:12.381Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T02:02:12.381Z] GC before operation: completed in 139.440 ms, heap usage 519.642 MB -> 90.085 MB. [2026-04-22T02:02:15.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:02:18.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:02:21.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:02:24.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:02:26.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:02:27.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:02:30.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:02:31.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:02:32.070Z] 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. [2026-04-22T02:02:32.070Z] The best model improves the baseline by 14.52%. [2026-04-22T02:02:32.420Z] Top recommended movies for user id 72: [2026-04-22T02:02:32.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:02:32.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:02:32.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:02:32.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:02:32.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:02:32.420Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20027.796 ms) ====== [2026-04-22T02:02:32.420Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T02:02:32.421Z] GC before operation: completed in 140.760 ms, heap usage 369.832 MB -> 90.229 MB. [2026-04-22T02:02:35.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:02:38.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:02:41.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:02:44.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:02:46.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:02:48.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:02:50.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:02:52.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:02:52.341Z] 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. [2026-04-22T02:02:52.341Z] The best model improves the baseline by 14.52%. [2026-04-22T02:02:52.707Z] Top recommended movies for user id 72: [2026-04-22T02:02:52.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:02:52.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:02:52.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:02:52.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:02:52.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:02:52.707Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19988.092 ms) ====== [2026-04-22T02:02:52.707Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T02:02:52.707Z] GC before operation: completed in 137.656 ms, heap usage 518.304 MB -> 90.213 MB. [2026-04-22T02:02:55.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:02:59.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:03:02.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:03:04.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:03:06.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:03:07.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:03:09.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:03:11.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:03:11.656Z] 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. [2026-04-22T02:03:11.656Z] The best model improves the baseline by 14.52%. [2026-04-22T02:03:11.656Z] Top recommended movies for user id 72: [2026-04-22T02:03:11.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:03:11.656Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:03:11.656Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:03:11.656Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:03:11.656Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:03:11.656Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19071.165 ms) ====== [2026-04-22T02:03:11.656Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T02:03:12.015Z] GC before operation: completed in 146.113 ms, heap usage 448.389 MB -> 90.228 MB. [2026-04-22T02:03:15.192Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:03:17.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:03:20.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:03:23.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:03:24.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:03:26.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:03:28.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:03:29.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:03:30.316Z] 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. [2026-04-22T02:03:30.316Z] The best model improves the baseline by 14.52%. [2026-04-22T02:03:30.316Z] Top recommended movies for user id 72: [2026-04-22T02:03:30.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:03:30.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:03:30.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:03:30.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:03:30.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:03:30.316Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18557.113 ms) ====== [2026-04-22T02:03:30.316Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T02:03:30.668Z] GC before operation: completed in 150.123 ms, heap usage 190.886 MB -> 89.712 MB. [2026-04-22T02:03:33.791Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:03:36.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:03:39.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:03:41.779Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:03:44.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:03:45.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:03:47.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:03:49.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:03:49.671Z] 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. [2026-04-22T02:03:49.671Z] The best model improves the baseline by 14.52%. [2026-04-22T02:03:50.025Z] Top recommended movies for user id 72: [2026-04-22T02:03:50.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:03:50.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:03:50.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:03:50.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:03:50.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:03:50.025Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19351.649 ms) ====== [2026-04-22T02:03:50.025Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T02:03:50.025Z] GC before operation: completed in 150.762 ms, heap usage 368.721 MB -> 90.077 MB. [2026-04-22T02:03:53.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T02:03:56.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T02:03:58.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T02:04:01.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T02:04:03.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T02:04:05.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T02:04:07.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T02:04:09.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T02:04:09.361Z] 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. [2026-04-22T02:04:09.361Z] The best model improves the baseline by 14.52%. [2026-04-22T02:04:09.710Z] Top recommended movies for user id 72: [2026-04-22T02:04:09.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T02:04:09.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T02:04:09.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T02:04:09.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T02:04:09.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T02:04:09.710Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19539.487 ms) ====== [2026-04-22T02:04:10.461Z] ----------------------------------- [2026-04-22T02:04:10.461Z] renaissance-movie-lens_0_PASSED [2026-04-22T02:04:10.461Z] ----------------------------------- [2026-04-22T02:04:10.461Z] [2026-04-22T02:04:10.461Z] TEST TEARDOWN: [2026-04-22T02:04:10.461Z] Nothing to be done for teardown. [2026-04-22T02:04:10.461Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 02:04:10 2026 Epoch Time (ms): 1776823450095