[2026-02-12T01:12:19.194Z] Running test renaissance-movie-lens_0 ... [2026-02-12T01:12:19.194Z] =============================================== [2026-02-12T01:12:19.194Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 01:12:19 2026 Epoch Time (ms): 1770858739121 [2026-02-12T01:12:19.536Z] variation: NoOptions [2026-02-12T01:12:19.536Z] JVM_OPTIONS: [2026-02-12T01:12:19.536Z] { \ [2026-02-12T01:12:19.536Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T01:12:19.536Z] echo "Nothing to be done for setup."; \ [2026-02-12T01:12:19.536Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708574748279\\renaissance-movie-lens_0"; \ [2026-02-12T01:12:19.536Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708574748279\\renaissance-movie-lens_0"; \ [2026-02-12T01:12:19.536Z] echo ""; echo "TESTING:"; \ [2026-02-12T01:12:19.536Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708574748279\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-12T01:12:19.536Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708574748279\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T01:12:19.536Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T01:12:19.536Z] echo "Nothing to be done for teardown."; \ [2026-02-12T01:12:19.536Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708574748279\\TestTargetResult"; [2026-02-12T01:12:19.536Z] [2026-02-12T01:12:19.536Z] TEST SETUP: [2026-02-12T01:12:19.536Z] Nothing to be done for setup. [2026-02-12T01:12:19.536Z] [2026-02-12T01:12:19.536Z] TESTING: [2026-02-12T01:12:35.335Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T01:12:40.099Z] 01:12:39.538 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T01:12:41.946Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T01:12:42.746Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T01:12:42.746Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T01:12:42.746Z] GC before operation: completed in 104.056 ms, heap usage 165.104 MB -> 75.881 MB. [2026-02-12T01:12:59.136Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:13:09.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:13:18.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:13:27.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:13:32.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:13:37.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:13:42.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:13:46.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:13:47.600Z] 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. [2026-02-12T01:13:47.600Z] The best model improves the baseline by 14.52%. [2026-02-12T01:13:47.945Z] Top recommended movies for user id 72: [2026-02-12T01:13:47.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:13:47.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:13:47.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:13:47.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:13:47.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:13:47.945Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65242.745 ms) ====== [2026-02-12T01:13:47.945Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T01:13:47.945Z] GC before operation: completed in 118.453 ms, heap usage 265.297 MB -> 93.397 MB. [2026-02-12T01:13:56.821Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:14:04.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:14:12.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:14:20.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:14:24.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:14:29.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:14:34.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:14:39.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:14:39.170Z] 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. [2026-02-12T01:14:39.541Z] The best model improves the baseline by 14.52%. [2026-02-12T01:14:39.541Z] Top recommended movies for user id 72: [2026-02-12T01:14:39.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:14:39.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:14:39.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:14:39.541Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:14:39.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:14:39.541Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51570.161 ms) ====== [2026-02-12T01:14:39.541Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T01:14:39.912Z] GC before operation: completed in 107.501 ms, heap usage 381.081 MB -> 88.917 MB. [2026-02-12T01:14:48.802Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:14:56.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:15:04.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:15:10.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:15:15.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:15:19.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:15:25.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:15:28.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:15:29.361Z] 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. [2026-02-12T01:15:29.362Z] The best model improves the baseline by 14.52%. [2026-02-12T01:15:29.362Z] Top recommended movies for user id 72: [2026-02-12T01:15:29.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:15:29.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:15:29.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:15:29.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:15:29.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:15:29.362Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (49740.677 ms) ====== [2026-02-12T01:15:29.362Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T01:15:29.704Z] GC before operation: completed in 113.834 ms, heap usage 494.419 MB -> 89.751 MB. [2026-02-12T01:15:38.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:15:47.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:15:56.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:16:03.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:16:08.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:16:12.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:16:18.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:16:21.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:16:21.773Z] 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. [2026-02-12T01:16:21.773Z] The best model improves the baseline by 14.52%. [2026-02-12T01:16:22.181Z] Top recommended movies for user id 72: [2026-02-12T01:16:22.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:16:22.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:16:22.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:16:22.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:16:22.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:16:22.182Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (52664.458 ms) ====== [2026-02-12T01:16:22.182Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T01:16:22.182Z] GC before operation: completed in 103.005 ms, heap usage 306.254 MB -> 89.754 MB. [2026-02-12T01:16:31.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:16:40.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:16:47.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:16:54.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:16:58.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:17:03.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:17:07.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:17:12.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:17:12.520Z] 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. [2026-02-12T01:17:12.520Z] The best model improves the baseline by 14.52%. [2026-02-12T01:17:13.025Z] Top recommended movies for user id 72: [2026-02-12T01:17:13.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:17:13.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:17:13.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:17:13.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:17:13.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:17:13.025Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50397.530 ms) ====== [2026-02-12T01:17:13.025Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T01:17:13.025Z] GC before operation: completed in 119.250 ms, heap usage 889.273 MB -> 94.151 MB. [2026-02-12T01:17:20.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:17:27.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:17:36.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:17:43.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:17:47.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:17:52.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:17:57.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:18:01.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:18:01.462Z] 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. [2026-02-12T01:18:01.462Z] The best model improves the baseline by 14.52%. [2026-02-12T01:18:01.813Z] Top recommended movies for user id 72: [2026-02-12T01:18:01.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:18:01.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:18:01.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:18:01.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:18:01.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:18:01.813Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (48949.172 ms) ====== [2026-02-12T01:18:01.813Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T01:18:01.813Z] GC before operation: completed in 125.498 ms, heap usage 551.762 MB -> 96.906 MB. [2026-02-12T01:18:10.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:18:17.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:18:26.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:18:32.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:18:37.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:18:41.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:18:45.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:18:49.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:18:50.026Z] 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. [2026-02-12T01:18:50.026Z] The best model improves the baseline by 14.52%. [2026-02-12T01:18:50.371Z] Top recommended movies for user id 72: [2026-02-12T01:18:50.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:18:50.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:18:50.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:18:50.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:18:50.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:18:50.371Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (48479.738 ms) ====== [2026-02-12T01:18:50.371Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T01:18:50.371Z] GC before operation: completed in 113.354 ms, heap usage 691.848 MB -> 96.926 MB. [2026-02-12T01:18:59.239Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:19:06.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:19:15.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:19:21.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:19:25.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:19:29.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:19:35.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:19:39.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:19:39.295Z] 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. [2026-02-12T01:19:39.295Z] The best model improves the baseline by 14.52%. [2026-02-12T01:19:39.642Z] Top recommended movies for user id 72: [2026-02-12T01:19:39.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:19:39.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:19:39.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:19:39.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:19:39.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:19:39.642Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49118.180 ms) ====== [2026-02-12T01:19:39.642Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T01:19:39.642Z] GC before operation: completed in 111.783 ms, heap usage 688.746 MB -> 96.148 MB. [2026-02-12T01:19:48.506Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:19:55.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:20:04.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:20:11.918Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:20:15.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:20:20.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:20:25.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:20:28.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:20:29.685Z] 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. [2026-02-12T01:20:29.685Z] The best model improves the baseline by 14.52%. [2026-02-12T01:20:30.025Z] Top recommended movies for user id 72: [2026-02-12T01:20:30.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:20:30.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:20:30.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:20:30.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:20:30.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:20:30.025Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (50254.044 ms) ====== [2026-02-12T01:20:30.025Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T01:20:30.025Z] GC before operation: completed in 104.435 ms, heap usage 308.836 MB -> 90.211 MB. [2026-02-12T01:20:38.897Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:20:46.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:20:53.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:21:00.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:21:04.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:21:09.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:21:13.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:21:17.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:21:18.005Z] 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. [2026-02-12T01:21:18.005Z] The best model improves the baseline by 14.52%. [2026-02-12T01:21:18.372Z] Top recommended movies for user id 72: [2026-02-12T01:21:18.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:21:18.372Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:21:18.372Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:21:18.372Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:21:18.372Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:21:18.372Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (48321.020 ms) ====== [2026-02-12T01:21:18.372Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T01:21:18.372Z] GC before operation: completed in 104.321 ms, heap usage 241.213 MB -> 90.164 MB. [2026-02-12T01:21:27.231Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:21:34.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:21:41.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:21:48.987Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:21:53.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:21:58.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:22:03.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:22:07.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:22:07.589Z] 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. [2026-02-12T01:22:07.589Z] The best model improves the baseline by 14.52%. [2026-02-12T01:22:07.930Z] Top recommended movies for user id 72: [2026-02-12T01:22:07.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:22:07.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:22:07.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:22:07.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:22:07.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:22:07.931Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49306.663 ms) ====== [2026-02-12T01:22:07.931Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T01:22:07.931Z] GC before operation: completed in 117.060 ms, heap usage 483.013 MB -> 92.505 MB. [2026-02-12T01:22:15.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:22:24.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:22:31.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:22:38.588Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:22:42.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:22:47.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:22:51.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:22:55.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:22:55.700Z] 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. [2026-02-12T01:22:55.700Z] The best model improves the baseline by 14.52%. [2026-02-12T01:22:56.027Z] Top recommended movies for user id 72: [2026-02-12T01:22:56.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:22:56.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:22:56.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:22:56.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:22:56.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:22:56.027Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48072.069 ms) ====== [2026-02-12T01:22:56.027Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T01:22:56.027Z] GC before operation: completed in 117.685 ms, heap usage 194.048 MB -> 93.293 MB. [2026-02-12T01:23:04.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:23:12.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:23:21.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:23:28.303Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:23:32.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:23:36.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:23:41.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:23:46.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:23:46.397Z] 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. [2026-02-12T01:23:46.397Z] The best model improves the baseline by 14.52%. [2026-02-12T01:23:46.397Z] Top recommended movies for user id 72: [2026-02-12T01:23:46.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:23:46.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:23:46.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:23:46.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:23:46.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:23:46.397Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50335.117 ms) ====== [2026-02-12T01:23:46.397Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T01:23:46.761Z] GC before operation: completed in 106.114 ms, heap usage 266.113 MB -> 93.565 MB. [2026-02-12T01:23:53.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:24:01.267Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:24:10.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:24:17.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:24:22.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:24:25.896Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:24:30.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:24:35.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:24:35.382Z] 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. [2026-02-12T01:24:35.382Z] The best model improves the baseline by 14.52%. [2026-02-12T01:24:35.784Z] Top recommended movies for user id 72: [2026-02-12T01:24:35.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:24:35.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:24:35.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:24:35.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:24:35.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:24:35.785Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49026.386 ms) ====== [2026-02-12T01:24:35.785Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T01:24:35.785Z] GC before operation: completed in 107.973 ms, heap usage 108.601 MB -> 89.865 MB. [2026-02-12T01:24:44.689Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:24:53.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:25:02.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:25:09.670Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:25:13.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:25:18.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:25:22.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:25:26.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:25:27.040Z] 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. [2026-02-12T01:25:27.040Z] The best model improves the baseline by 14.52%. [2026-02-12T01:25:27.383Z] Top recommended movies for user id 72: [2026-02-12T01:25:27.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:25:27.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:25:27.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:25:27.383Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:25:27.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:25:27.383Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51614.267 ms) ====== [2026-02-12T01:25:27.383Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T01:25:27.383Z] GC before operation: completed in 109.978 ms, heap usage 254.309 MB -> 95.771 MB. [2026-02-12T01:25:36.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:25:43.540Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:25:50.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:25:58.012Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:26:02.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:26:06.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:26:11.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:26:15.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:26:15.995Z] 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. [2026-02-12T01:26:15.995Z] The best model improves the baseline by 14.52%. [2026-02-12T01:26:16.425Z] Top recommended movies for user id 72: [2026-02-12T01:26:16.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:26:16.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:26:16.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:26:16.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:26:16.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:26:16.425Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48737.125 ms) ====== [2026-02-12T01:26:16.425Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T01:26:16.425Z] GC before operation: completed in 110.657 ms, heap usage 257.042 MB -> 91.993 MB. [2026-02-12T01:26:23.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:26:30.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:26:39.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:26:47.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:26:50.793Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:26:55.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:27:00.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:27:04.077Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:27:04.431Z] 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. [2026-02-12T01:27:04.431Z] The best model improves the baseline by 14.52%. [2026-02-12T01:27:04.792Z] Top recommended movies for user id 72: [2026-02-12T01:27:04.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:27:04.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:27:04.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:27:04.793Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:27:04.793Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:27:04.793Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48540.366 ms) ====== [2026-02-12T01:27:04.793Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T01:27:04.793Z] GC before operation: completed in 105.481 ms, heap usage 371.264 MB -> 90.684 MB. [2026-02-12T01:27:15.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:27:22.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:27:30.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:27:37.370Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:27:42.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:27:45.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:27:50.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:27:55.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:27:56.153Z] 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. [2026-02-12T01:27:56.153Z] The best model improves the baseline by 14.52%. [2026-02-12T01:27:56.153Z] Top recommended movies for user id 72: [2026-02-12T01:27:56.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:27:56.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:27:56.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:27:56.153Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:27:56.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:27:56.153Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (51260.133 ms) ====== [2026-02-12T01:27:56.153Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T01:27:56.498Z] GC before operation: completed in 118.182 ms, heap usage 492.357 MB -> 92.823 MB. [2026-02-12T01:28:03.734Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:28:10.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:28:19.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:28:27.120Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:28:31.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:28:35.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:28:40.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:28:44.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:28:44.878Z] 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. [2026-02-12T01:28:44.878Z] The best model improves the baseline by 14.52%. [2026-02-12T01:28:45.216Z] Top recommended movies for user id 72: [2026-02-12T01:28:45.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:28:45.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:28:45.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:28:45.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:28:45.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:28:45.216Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48854.803 ms) ====== [2026-02-12T01:28:45.216Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T01:28:45.216Z] GC before operation: completed in 119.117 ms, heap usage 436.324 MB -> 93.880 MB. [2026-02-12T01:28:54.100Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:29:01.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:29:10.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:29:16.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:29:19.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:29:24.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:29:29.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:29:33.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:29:33.444Z] 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. [2026-02-12T01:29:33.444Z] The best model improves the baseline by 14.52%. [2026-02-12T01:29:33.779Z] Top recommended movies for user id 72: [2026-02-12T01:29:33.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:29:33.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:29:33.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:29:33.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:29:33.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:29:33.779Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48443.164 ms) ====== [2026-02-12T01:29:34.921Z] ----------------------------------- [2026-02-12T01:29:34.921Z] renaissance-movie-lens_0_PASSED [2026-02-12T01:29:34.921Z] ----------------------------------- [2026-02-12T01:29:35.614Z] [2026-02-12T01:29:35.614Z] TEST TEARDOWN: [2026-02-12T01:29:35.614Z] Nothing to be done for teardown. [2026-02-12T01:29:35.614Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 01:29:35 2026 Epoch Time (ms): 1770859775354