[2026-02-05T01:16:10.391Z] Running test renaissance-movie-lens_0 ... [2026-02-05T01:16:10.391Z] =============================================== [2026-02-05T01:16:10.391Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 20:16:08 2026 Epoch Time (ms): 1770254168312 [2026-02-05T01:16:10.391Z] variation: NoOptions [2026-02-05T01:16:10.391Z] JVM_OPTIONS: [2026-02-05T01:16:10.391Z] { \ [2026-02-05T01:16:10.391Z] echo ""; echo "TEST SETUP:"; \ [2026-02-05T01:16:10.391Z] echo "Nothing to be done for setup."; \ [2026-02-05T01:16:10.391Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17702520672726/renaissance-movie-lens_0"; \ [2026-02-05T01:16:10.391Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17702520672726/renaissance-movie-lens_0"; \ [2026-02-05T01:16:10.391Z] echo ""; echo "TESTING:"; \ [2026-02-05T01:16:10.391Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17702520672726/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-05T01:16:10.391Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17702520672726/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-05T01:16:10.391Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-05T01:16:10.391Z] echo "Nothing to be done for teardown."; \ [2026-02-05T01:16:10.391Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17702520672726/TestTargetResult"; [2026-02-05T01:16:10.391Z] [2026-02-05T01:16:10.391Z] TEST SETUP: [2026-02-05T01:16:10.391Z] Nothing to be done for setup. [2026-02-05T01:16:10.391Z] [2026-02-05T01:16:10.391Z] TESTING: [2026-02-05T01:16:32.295Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-05T01:16:58.313Z] 20:16:57.649 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-05T01:17:07.437Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T01:17:10.020Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T01:17:10.021Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T01:17:10.578Z] GC before operation: completed in 837.197 ms, heap usage 302.490 MB -> 75.158 MB. [2026-02-05T01:17:47.710Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:18:18.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:18:37.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:18:54.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:19:03.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:19:14.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:19:23.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:19:32.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:19:33.314Z] 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. [2026-02-05T01:19:34.036Z] The best model improves the baseline by 14.52%. [2026-02-05T01:19:35.099Z] Top recommended movies for user id 72: [2026-02-05T01:19:35.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:19:35.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:19:35.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:19:35.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:19:35.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:19:35.099Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (144714.365 ms) ====== [2026-02-05T01:19:35.099Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T01:19:35.559Z] GC before operation: completed in 632.754 ms, heap usage 1.232 GB -> 93.445 MB. [2026-02-05T01:19:58.959Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:20:13.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:20:29.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:20:41.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:20:50.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:20:58.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:21:10.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:21:21.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:21:22.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T01:21:22.151Z] The best model improves the baseline by 14.52%. [2026-02-05T01:21:22.810Z] Top recommended movies for user id 72: [2026-02-05T01:21:22.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:21:22.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:21:22.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:21:22.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:21:22.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:21:22.810Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (107173.466 ms) ====== [2026-02-05T01:21:22.810Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T01:21:23.448Z] GC before operation: completed in 706.118 ms, heap usage 373.177 MB -> 87.843 MB. [2026-02-05T01:21:46.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:21:59.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:22:15.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:22:28.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:22:38.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:22:47.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:22:53.835Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:23:03.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:23:05.163Z] 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. [2026-02-05T01:23:05.163Z] The best model improves the baseline by 14.52%. [2026-02-05T01:23:05.794Z] Top recommended movies for user id 72: [2026-02-05T01:23:05.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:23:05.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:23:05.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:23:05.795Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:23:05.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:23:05.795Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (102145.093 ms) ====== [2026-02-05T01:23:05.795Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T01:23:06.288Z] GC before operation: completed in 329.943 ms, heap usage 493.268 MB -> 88.753 MB. [2026-02-05T01:23:25.193Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:23:37.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:23:53.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:24:06.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:24:15.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:24:27.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:24:35.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:24:44.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:24:45.255Z] 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. [2026-02-05T01:24:45.255Z] The best model improves the baseline by 14.52%. [2026-02-05T01:24:46.437Z] Top recommended movies for user id 72: [2026-02-05T01:24:46.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:24:46.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:24:46.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:24:46.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:24:46.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:24:46.437Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (100404.313 ms) ====== [2026-02-05T01:24:46.437Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T01:24:46.880Z] GC before operation: completed in 534.840 ms, heap usage 400.722 MB -> 88.949 MB. [2026-02-05T01:25:02.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:25:18.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:25:36.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:25:50.123Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:25:54.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:26:04.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:26:13.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:26:23.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:26:23.588Z] 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. [2026-02-05T01:26:24.075Z] The best model improves the baseline by 14.52%. [2026-02-05T01:26:24.567Z] Top recommended movies for user id 72: [2026-02-05T01:26:24.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:26:24.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:26:24.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:26:24.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:26:24.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:26:24.567Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (97336.822 ms) ====== [2026-02-05T01:26:24.567Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T01:26:24.567Z] GC before operation: completed in 316.177 ms, heap usage 369.547 MB -> 88.977 MB. [2026-02-05T01:26:43.863Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:27:00.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:27:16.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:27:25.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:27:33.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:27:42.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:27:50.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:27:56.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:27:57.929Z] 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. [2026-02-05T01:27:57.930Z] The best model improves the baseline by 14.52%. [2026-02-05T01:27:58.387Z] Top recommended movies for user id 72: [2026-02-05T01:27:58.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:27:58.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:27:58.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:27:58.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:27:58.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:27:58.387Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (93607.942 ms) ====== [2026-02-05T01:27:58.387Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T01:27:58.784Z] GC before operation: completed in 347.091 ms, heap usage 150.731 MB -> 92.574 MB. [2026-02-05T01:28:17.523Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:28:31.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:28:44.591Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:29:00.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:29:07.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:29:14.491Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:29:21.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:29:29.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:29:31.756Z] 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. [2026-02-05T01:29:31.756Z] The best model improves the baseline by 14.52%. [2026-02-05T01:29:32.308Z] Top recommended movies for user id 72: [2026-02-05T01:29:32.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:29:32.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:29:32.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:29:32.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:29:32.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:29:32.308Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (93402.472 ms) ====== [2026-02-05T01:29:32.308Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T01:29:32.994Z] GC before operation: completed in 788.335 ms, heap usage 382.984 MB -> 89.180 MB. [2026-02-05T01:29:51.824Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:30:04.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:30:23.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:30:34.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:30:44.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:30:51.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:30:59.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:31:07.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:31:07.732Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T01:31:07.732Z] The best model improves the baseline by 14.52%. [2026-02-05T01:31:08.259Z] Top recommended movies for user id 72: [2026-02-05T01:31:08.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:31:08.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:31:08.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:31:08.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:31:08.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:31:08.259Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (95128.560 ms) ====== [2026-02-05T01:31:08.259Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T01:31:09.346Z] GC before operation: completed in 1095.872 ms, heap usage 307.835 MB -> 89.316 MB. [2026-02-05T01:31:27.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:31:37.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:31:54.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:32:05.825Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:32:14.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:32:24.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:32:32.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:32:42.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:32:42.003Z] 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. [2026-02-05T01:32:42.003Z] The best model improves the baseline by 14.52%. [2026-02-05T01:32:42.003Z] Top recommended movies for user id 72: [2026-02-05T01:32:42.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:32:42.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:32:42.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:32:42.003Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:32:42.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:32:42.003Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (92720.962 ms) ====== [2026-02-05T01:32:42.003Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T01:32:42.662Z] GC before operation: completed in 589.730 ms, heap usage 855.096 MB -> 93.417 MB. [2026-02-05T01:32:58.282Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:33:11.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:33:24.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:33:35.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:33:44.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:33:50.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:33:58.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:34:06.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:34:08.177Z] 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. [2026-02-05T01:34:08.177Z] The best model improves the baseline by 14.52%. [2026-02-05T01:34:08.177Z] Top recommended movies for user id 72: [2026-02-05T01:34:08.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:34:08.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:34:08.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:34:08.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:34:08.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:34:08.177Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (85969.568 ms) ====== [2026-02-05T01:34:08.177Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T01:34:08.569Z] GC before operation: completed in 340.172 ms, heap usage 355.122 MB -> 89.588 MB. [2026-02-05T01:34:31.179Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:34:44.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:35:03.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:35:17.074Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:35:22.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:35:29.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:35:37.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:35:44.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:35:44.585Z] 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. [2026-02-05T01:35:44.585Z] The best model improves the baseline by 14.52%. [2026-02-05T01:35:45.167Z] Top recommended movies for user id 72: [2026-02-05T01:35:45.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:35:45.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:35:45.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:35:45.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:35:45.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:35:45.167Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (96193.763 ms) ====== [2026-02-05T01:35:45.167Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T01:35:45.980Z] GC before operation: completed in 904.671 ms, heap usage 791.001 MB -> 93.048 MB. [2026-02-05T01:36:05.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:36:18.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:36:35.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:36:47.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:36:55.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:37:01.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:37:09.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:37:20.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:37:21.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T01:37:22.220Z] The best model improves the baseline by 14.52%. [2026-02-05T01:37:22.680Z] Top recommended movies for user id 72: [2026-02-05T01:37:22.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:37:22.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:37:22.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:37:22.680Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:37:22.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:37:22.680Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (96949.884 ms) ====== [2026-02-05T01:37:22.680Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T01:37:23.180Z] GC before operation: completed in 451.574 ms, heap usage 939.394 MB -> 94.022 MB. [2026-02-05T01:37:39.432Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:37:52.517Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:38:05.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:38:22.297Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:38:30.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:38:38.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:38:46.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:38:54.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:38:55.073Z] 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. [2026-02-05T01:38:55.073Z] The best model improves the baseline by 14.52%. [2026-02-05T01:38:55.741Z] Top recommended movies for user id 72: [2026-02-05T01:38:55.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:38:55.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:38:55.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:38:55.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:38:55.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:38:55.742Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (92158.156 ms) ====== [2026-02-05T01:38:55.742Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T01:38:56.245Z] GC before operation: completed in 668.820 ms, heap usage 224.977 MB -> 89.474 MB. [2026-02-05T01:39:11.472Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:39:26.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:39:40.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:39:56.829Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:40:06.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:40:16.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:40:22.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:40:31.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:40:31.533Z] 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. [2026-02-05T01:40:31.533Z] The best model improves the baseline by 14.52%. [2026-02-05T01:40:31.533Z] Top recommended movies for user id 72: [2026-02-05T01:40:31.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:40:31.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:40:31.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:40:31.533Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:40:31.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:40:31.533Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (95325.284 ms) ====== [2026-02-05T01:40:31.533Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T01:40:31.533Z] GC before operation: completed in 270.311 ms, heap usage 153.197 MB -> 92.209 MB. [2026-02-05T01:40:47.323Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:40:58.870Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:41:12.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:41:28.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:41:35.089Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:41:43.052Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:41:50.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:41:57.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:41:58.323Z] 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. [2026-02-05T01:41:58.323Z] The best model improves the baseline by 14.52%. [2026-02-05T01:41:58.806Z] Top recommended movies for user id 72: [2026-02-05T01:41:58.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:41:58.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:41:58.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:41:58.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:41:58.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:41:58.806Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (86874.479 ms) ====== [2026-02-05T01:41:58.806Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T01:41:58.806Z] GC before operation: completed in 358.644 ms, heap usage 843.760 MB -> 93.828 MB. [2026-02-05T01:42:14.096Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:42:27.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:42:41.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:42:51.796Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:42:58.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:43:06.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:43:13.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:43:19.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:43:20.125Z] 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. [2026-02-05T01:43:20.125Z] The best model improves the baseline by 14.52%. [2026-02-05T01:43:20.646Z] Top recommended movies for user id 72: [2026-02-05T01:43:20.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:43:20.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:43:20.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:43:20.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:43:20.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:43:20.646Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (81769.277 ms) ====== [2026-02-05T01:43:20.646Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T01:43:21.085Z] GC before operation: completed in 238.851 ms, heap usage 319.684 MB -> 89.520 MB. [2026-02-05T01:43:37.130Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:43:50.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:44:03.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:44:12.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:44:18.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:44:26.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:44:36.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:44:48.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:44:48.697Z] 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. [2026-02-05T01:44:49.193Z] The best model improves the baseline by 14.52%. [2026-02-05T01:44:50.495Z] Top recommended movies for user id 72: [2026-02-05T01:44:50.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:44:50.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:44:50.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:44:50.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:44:50.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:44:50.495Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (89619.675 ms) ====== [2026-02-05T01:44:50.495Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T01:44:50.971Z] GC before operation: completed in 325.951 ms, heap usage 225.203 MB -> 91.296 MB. [2026-02-05T01:45:06.356Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:45:20.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:45:32.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:45:43.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:46:00.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:46:13.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:46:20.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:46:28.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:46:29.192Z] 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. [2026-02-05T01:46:29.192Z] The best model improves the baseline by 14.52%. [2026-02-05T01:46:29.666Z] Top recommended movies for user id 72: [2026-02-05T01:46:29.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:46:29.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:46:29.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:46:29.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:46:29.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:46:29.666Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (98722.927 ms) ====== [2026-02-05T01:46:29.666Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T01:46:30.272Z] GC before operation: completed in 429.568 ms, heap usage 1.002 GB -> 94.243 MB. [2026-02-05T01:46:49.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:47:03.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:47:16.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:47:28.897Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:47:36.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:47:44.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:47:51.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:48:02.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:48:02.959Z] 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. [2026-02-05T01:48:02.959Z] The best model improves the baseline by 14.52%. [2026-02-05T01:48:03.483Z] Top recommended movies for user id 72: [2026-02-05T01:48:03.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:48:03.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:48:03.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:48:03.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:48:03.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:48:03.483Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (93251.048 ms) ====== [2026-02-05T01:48:03.483Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T01:48:03.483Z] GC before operation: completed in 401.431 ms, heap usage 554.236 MB -> 93.116 MB. [2026-02-05T01:48:19.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T01:48:33.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T01:48:49.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T01:49:02.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T01:49:09.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T01:49:20.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T01:49:28.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T01:49:37.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T01:49:38.356Z] 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. [2026-02-05T01:49:38.759Z] The best model improves the baseline by 14.52%. [2026-02-05T01:49:38.759Z] Top recommended movies for user id 72: [2026-02-05T01:49:38.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T01:49:38.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T01:49:38.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T01:49:38.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T01:49:38.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T01:49:38.759Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (95213.075 ms) ====== [2026-02-05T01:49:46.228Z] ----------------------------------- [2026-02-05T01:49:46.228Z] renaissance-movie-lens_0_PASSED [2026-02-05T01:49:46.228Z] ----------------------------------- [2026-02-05T01:49:46.228Z] [2026-02-05T01:49:46.228Z] TEST TEARDOWN: [2026-02-05T01:49:46.228Z] Nothing to be done for teardown. [2026-02-05T01:49:46.228Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 20:49:45 2026 Epoch Time (ms): 1770256185871