[2026-01-20T23:18:08.535Z] Running test renaissance-movie-lens_0 ... [2026-01-20T23:18:08.535Z] =============================================== [2026-01-20T23:18:08.535Z] renaissance-movie-lens_0 Start Time: Tue Jan 20 23:18:08 2026 Epoch Time (ms): 1768951088433 [2026-01-20T23:18:08.535Z] variation: NoOptions [2026-01-20T23:18:08.535Z] JVM_OPTIONS: [2026-01-20T23:18:08.535Z] { \ [2026-01-20T23:18:08.535Z] echo ""; echo "TEST SETUP:"; \ [2026-01-20T23:18:08.535Z] echo "Nothing to be done for setup."; \ [2026-01-20T23:18:08.535Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689497132825/renaissance-movie-lens_0"; \ [2026-01-20T23:18:08.535Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689497132825/renaissance-movie-lens_0"; \ [2026-01-20T23:18:08.535Z] echo ""; echo "TESTING:"; \ [2026-01-20T23:18:08.535Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689497132825/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-20T23:18:08.535Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689497132825/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-20T23:18:08.535Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-20T23:18:08.535Z] echo "Nothing to be done for teardown."; \ [2026-01-20T23:18:08.535Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689497132825/TestTargetResult"; [2026-01-20T23:18:08.535Z] [2026-01-20T23:18:08.535Z] TEST SETUP: [2026-01-20T23:18:08.535Z] Nothing to be done for setup. [2026-01-20T23:18:08.535Z] [2026-01-20T23:18:08.535Z] TESTING: [2026-01-20T23:18:13.383Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-20T23:18:22.123Z] 23:18:20.760 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-20T23:18:24.222Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-20T23:18:25.571Z] Training: 60056, validation: 20285, test: 19854 [2026-01-20T23:18:25.571Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-20T23:18:25.571Z] GC before operation: completed in 136.591 ms, heap usage 187.483 MB -> 75.446 MB. [2026-01-20T23:18:34.332Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:18:38.566Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:18:44.569Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:18:49.423Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:18:51.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:18:54.443Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:18:56.536Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:18:57.879Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:18:58.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:18:58.521Z] The best model improves the baseline by 14.34%. [2026-01-20T23:18:59.170Z] Top recommended movies for user id 72: [2026-01-20T23:18:59.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:18:59.170Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:18:59.170Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:18:59.170Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:18:59.170Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:18:59.170Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33617.375 ms) ====== [2026-01-20T23:18:59.170Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-20T23:18:59.170Z] GC before operation: completed in 149.594 ms, heap usage 127.926 MB -> 95.324 MB. [2026-01-20T23:19:03.011Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:19:05.102Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:19:08.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:19:10.944Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:19:12.313Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:19:13.654Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:19:15.757Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:19:17.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:19:17.739Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:19:17.739Z] The best model improves the baseline by 14.34%. [2026-01-20T23:19:17.739Z] Top recommended movies for user id 72: [2026-01-20T23:19:17.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:19:17.739Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:19:17.739Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:19:17.739Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:19:17.739Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:19:17.739Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18697.503 ms) ====== [2026-01-20T23:19:17.739Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-20T23:19:17.739Z] GC before operation: completed in 145.372 ms, heap usage 242.064 MB -> 89.830 MB. [2026-01-20T23:19:20.657Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:19:23.575Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:19:26.495Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:19:28.616Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:19:30.352Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:19:32.442Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:19:33.779Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:19:35.876Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:19:35.876Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:19:35.876Z] The best model improves the baseline by 14.34%. [2026-01-20T23:19:35.876Z] Top recommended movies for user id 72: [2026-01-20T23:19:35.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:19:35.876Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:19:35.876Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:19:35.876Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:19:35.876Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:19:35.876Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18181.442 ms) ====== [2026-01-20T23:19:35.876Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-20T23:19:36.521Z] GC before operation: completed in 132.021 ms, heap usage 209.525 MB -> 94.555 MB. [2026-01-20T23:19:38.618Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:19:41.544Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:19:44.466Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:19:46.558Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:19:47.894Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:19:49.987Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:19:51.323Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:19:52.662Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:19:53.306Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:19:53.306Z] The best model improves the baseline by 14.34%. [2026-01-20T23:19:53.306Z] Top recommended movies for user id 72: [2026-01-20T23:19:53.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:19:53.306Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:19:53.306Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:19:53.306Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:19:53.306Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:19:53.306Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17079.516 ms) ====== [2026-01-20T23:19:53.306Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-20T23:19:53.306Z] GC before operation: completed in 146.652 ms, heap usage 185.502 MB -> 95.727 MB. [2026-01-20T23:19:56.224Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:19:58.319Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:20:01.240Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:20:03.336Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:20:05.431Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:20:06.772Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:20:08.117Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:20:09.459Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:20:10.107Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:20:10.107Z] The best model improves the baseline by 14.34%. [2026-01-20T23:20:10.107Z] Top recommended movies for user id 72: [2026-01-20T23:20:10.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:20:10.107Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:20:10.107Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:20:10.107Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:20:10.107Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:20:10.107Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16661.492 ms) ====== [2026-01-20T23:20:10.107Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-20T23:20:10.107Z] GC before operation: completed in 136.265 ms, heap usage 225.309 MB -> 90.593 MB. [2026-01-20T23:20:13.031Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:20:15.126Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:20:18.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:20:20.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:20:21.996Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:20:23.340Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:20:25.436Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:20:26.775Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:20:26.776Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:20:26.776Z] The best model improves the baseline by 14.34%. [2026-01-20T23:20:27.421Z] Top recommended movies for user id 72: [2026-01-20T23:20:27.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:20:27.421Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:20:27.421Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:20:27.421Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:20:27.421Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:20:27.421Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16819.362 ms) ====== [2026-01-20T23:20:27.421Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-20T23:20:27.421Z] GC before operation: completed in 135.071 ms, heap usage 219.614 MB -> 96.769 MB. [2026-01-20T23:20:29.517Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:20:31.636Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:20:34.558Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:20:36.651Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:20:38.752Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:20:40.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:20:42.189Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:20:43.527Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:20:43.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:20:43.527Z] The best model improves the baseline by 14.34%. [2026-01-20T23:20:43.527Z] Top recommended movies for user id 72: [2026-01-20T23:20:43.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:20:43.527Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:20:43.527Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:20:43.527Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:20:43.527Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:20:43.527Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16525.815 ms) ====== [2026-01-20T23:20:43.527Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-20T23:20:44.172Z] GC before operation: completed in 136.253 ms, heap usage 242.995 MB -> 96.301 MB. [2026-01-20T23:20:46.268Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:20:48.362Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:20:51.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:20:53.373Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:20:54.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:20:56.803Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:20:58.139Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:20:59.515Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:21:00.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:21:00.160Z] The best model improves the baseline by 14.34%. [2026-01-20T23:21:00.160Z] Top recommended movies for user id 72: [2026-01-20T23:21:00.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:21:00.160Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:21:00.160Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:21:00.160Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:21:00.160Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:21:00.160Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16160.764 ms) ====== [2026-01-20T23:21:00.160Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-20T23:21:00.160Z] GC before operation: completed in 129.291 ms, heap usage 214.041 MB -> 88.904 MB. [2026-01-20T23:21:03.077Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:21:05.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:21:08.090Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:21:10.585Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:21:12.583Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:21:14.127Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:21:15.469Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:21:16.808Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:21:17.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:21:17.455Z] The best model improves the baseline by 14.34%. [2026-01-20T23:21:17.455Z] Top recommended movies for user id 72: [2026-01-20T23:21:17.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:21:17.455Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:21:17.455Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:21:17.455Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:21:17.455Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:21:17.455Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17165.546 ms) ====== [2026-01-20T23:21:17.455Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-20T23:21:17.455Z] GC before operation: completed in 135.198 ms, heap usage 171.892 MB -> 94.927 MB. [2026-01-20T23:21:20.376Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:21:22.473Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:21:25.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:21:27.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:21:28.827Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:21:30.171Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:21:32.308Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:21:33.647Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:21:33.647Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:21:33.647Z] The best model improves the baseline by 14.34%. [2026-01-20T23:21:33.647Z] Top recommended movies for user id 72: [2026-01-20T23:21:33.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:21:33.647Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:21:33.647Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:21:33.647Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:21:33.647Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:21:33.647Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16461.686 ms) ====== [2026-01-20T23:21:33.647Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-20T23:21:34.289Z] GC before operation: completed in 130.032 ms, heap usage 149.309 MB -> 88.962 MB. [2026-01-20T23:21:36.414Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:21:43.063Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:21:43.709Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:21:43.709Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:21:45.046Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:21:46.386Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:21:48.476Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:21:49.820Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:21:49.820Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:21:49.820Z] The best model improves the baseline by 14.34%. [2026-01-20T23:21:49.820Z] Top recommended movies for user id 72: [2026-01-20T23:21:49.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:21:49.820Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:21:49.820Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:21:49.820Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:21:49.820Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:21:49.820Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15934.138 ms) ====== [2026-01-20T23:21:49.820Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-20T23:21:50.467Z] GC before operation: completed in 129.948 ms, heap usage 182.067 MB -> 90.412 MB. [2026-01-20T23:21:52.557Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:21:54.652Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:21:57.571Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:21:59.687Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:22:01.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:22:03.120Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:22:04.456Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:22:05.792Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:22:05.793Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:22:06.436Z] The best model improves the baseline by 14.34%. [2026-01-20T23:22:06.436Z] Top recommended movies for user id 72: [2026-01-20T23:22:06.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:22:06.436Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:22:06.436Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:22:06.436Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:22:06.436Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:22:06.436Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16080.175 ms) ====== [2026-01-20T23:22:06.436Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-20T23:22:06.436Z] GC before operation: completed in 132.975 ms, heap usage 217.891 MB -> 89.037 MB. [2026-01-20T23:22:08.529Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:22:11.532Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:22:13.623Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:22:15.713Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:22:17.809Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:22:19.146Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:22:20.481Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:22:21.818Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:22:22.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:22:22.463Z] The best model improves the baseline by 14.34%. [2026-01-20T23:22:22.463Z] Top recommended movies for user id 72: [2026-01-20T23:22:22.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:22:22.463Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:22:22.463Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:22:22.463Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:22:22.463Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:22:22.463Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16154.071 ms) ====== [2026-01-20T23:22:22.463Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-20T23:22:22.463Z] GC before operation: completed in 133.913 ms, heap usage 202.659 MB -> 89.092 MB. [2026-01-20T23:22:25.381Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:22:27.483Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:22:29.979Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:22:32.180Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:22:33.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:22:35.606Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:22:36.941Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:22:38.282Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:22:38.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:22:38.282Z] The best model improves the baseline by 14.34%. [2026-01-20T23:22:38.282Z] Top recommended movies for user id 72: [2026-01-20T23:22:38.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:22:38.282Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:22:38.282Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:22:38.282Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:22:38.282Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:22:38.282Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15911.469 ms) ====== [2026-01-20T23:22:38.282Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-20T23:22:38.924Z] GC before operation: completed in 134.538 ms, heap usage 205.038 MB -> 91.111 MB. [2026-01-20T23:22:41.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:22:43.106Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:22:46.029Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:22:48.120Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:22:49.457Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:22:50.863Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:22:52.200Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:22:54.298Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:22:54.299Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:22:54.299Z] The best model improves the baseline by 14.34%. [2026-01-20T23:22:54.299Z] Top recommended movies for user id 72: [2026-01-20T23:22:54.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:22:54.299Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:22:54.299Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:22:54.299Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:22:54.299Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:22:54.299Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15672.360 ms) ====== [2026-01-20T23:22:54.299Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-20T23:22:54.299Z] GC before operation: completed in 134.481 ms, heap usage 168.214 MB -> 89.076 MB. [2026-01-20T23:22:56.475Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:22:59.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:23:01.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:23:03.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:23:04.964Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:23:07.060Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:23:08.400Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:23:09.737Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:23:09.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:23:09.737Z] The best model improves the baseline by 14.34%. [2026-01-20T23:23:10.380Z] Top recommended movies for user id 72: [2026-01-20T23:23:10.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:23:10.380Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:23:10.380Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:23:10.380Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:23:10.380Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:23:10.380Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15581.897 ms) ====== [2026-01-20T23:23:10.380Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-20T23:23:10.380Z] GC before operation: completed in 132.305 ms, heap usage 186.107 MB -> 94.621 MB. [2026-01-20T23:23:12.919Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:23:15.035Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:23:17.128Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:23:19.221Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:23:20.563Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:23:21.900Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:23:23.990Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:23:25.331Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:23:25.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:23:25.331Z] The best model improves the baseline by 14.34%. [2026-01-20T23:23:25.331Z] Top recommended movies for user id 72: [2026-01-20T23:23:25.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:23:25.331Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:23:25.331Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:23:25.331Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:23:25.331Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:23:25.331Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15254.236 ms) ====== [2026-01-20T23:23:25.331Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-20T23:23:25.331Z] GC before operation: completed in 133.948 ms, heap usage 189.803 MB -> 91.309 MB. [2026-01-20T23:23:28.252Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:23:30.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:23:33.310Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:23:35.404Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:23:36.739Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:23:38.077Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:23:39.415Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:23:40.748Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:23:41.394Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:23:41.394Z] The best model improves the baseline by 14.34%. [2026-01-20T23:23:41.394Z] Top recommended movies for user id 72: [2026-01-20T23:23:41.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:23:41.394Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:23:41.394Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:23:41.394Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:23:41.394Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:23:41.394Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15671.754 ms) ====== [2026-01-20T23:23:41.394Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-20T23:23:41.394Z] GC before operation: completed in 136.734 ms, heap usage 210.449 MB -> 93.373 MB. [2026-01-20T23:23:43.490Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:23:46.406Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:23:48.494Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:23:50.582Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:23:52.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:23:54.010Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:23:55.346Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:23:56.685Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:23:56.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:23:56.685Z] The best model improves the baseline by 14.34%. [2026-01-20T23:23:56.685Z] Top recommended movies for user id 72: [2026-01-20T23:23:56.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:23:56.685Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:23:56.685Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:23:56.685Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:23:56.685Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:23:56.685Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15469.868 ms) ====== [2026-01-20T23:23:56.685Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-20T23:23:57.329Z] GC before operation: completed in 137.860 ms, heap usage 175.938 MB -> 88.957 MB. [2026-01-20T23:23:59.437Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:24:01.527Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:24:04.447Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:24:06.932Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:24:07.576Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:24:08.912Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:24:10.250Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:24:12.362Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:24:12.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-20T23:24:12.362Z] The best model improves the baseline by 14.34%. [2026-01-20T23:24:13.008Z] Top recommended movies for user id 72: [2026-01-20T23:24:13.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:24:13.008Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:24:13.008Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:24:13.008Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:24:13.008Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:24:13.008Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15694.561 ms) ====== [2026-01-20T23:24:13.008Z] ----------------------------------- [2026-01-20T23:24:13.008Z] renaissance-movie-lens_0_PASSED [2026-01-20T23:24:13.008Z] ----------------------------------- [2026-01-20T23:24:13.008Z] [2026-01-20T23:24:13.008Z] TEST TEARDOWN: [2026-01-20T23:24:13.008Z] Nothing to be done for teardown. [2026-01-20T23:24:13.008Z] renaissance-movie-lens_0 Finish Time: Tue Jan 20 23:24:12 2026 Epoch Time (ms): 1768951452793