[2026-02-08T11:36:47.984Z] Running test renaissance-movie-lens_0 ... [2026-02-08T11:36:47.984Z] =============================================== [2026-02-08T11:36:48.326Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 11:36:48 2026 Epoch Time (ms): 1770550608006 [2026-02-08T11:36:48.326Z] variation: NoOptions [2026-02-08T11:36:48.709Z] JVM_OPTIONS: [2026-02-08T11:36:48.709Z] { \ [2026-02-08T11:36:48.709Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T11:36:48.709Z] echo "Nothing to be done for setup."; \ [2026-02-08T11:36:48.709Z] mkdir -p "C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705479975772\\renaissance-movie-lens_0"; \ [2026-02-08T11:36:48.709Z] cd "C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705479975772\\renaissance-movie-lens_0"; \ [2026-02-08T11:36:48.709Z] echo ""; echo "TESTING:"; \ [2026-02-08T11:36:48.709Z] "c:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705479975772\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-08T11:36:48.709Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705479975772\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T11:36:48.709Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T11:36:48.709Z] echo "Nothing to be done for teardown."; \ [2026-02-08T11:36:48.709Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705479975772\\TestTargetResult"; [2026-02-08T11:36:48.709Z] [2026-02-08T11:36:48.709Z] TEST SETUP: [2026-02-08T11:36:48.709Z] Nothing to be done for setup. [2026-02-08T11:36:48.709Z] [2026-02-08T11:36:48.709Z] TESTING: [2026-02-08T11:37:21.006Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T11:37:30.654Z] 11:37:28.856 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-08T11:37:32.509Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T11:37:33.692Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T11:37:33.692Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T11:37:33.692Z] GC before operation: completed in 210.787 ms, heap usage 316.514 MB -> 76.294 MB. [2026-02-08T11:38:01.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:38:16.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:38:33.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:38:46.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:38:55.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:39:06.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:39:19.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:39:26.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:39:27.998Z] 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. [2026-02-08T11:39:28.379Z] The best model improves the baseline by 14.52%. [2026-02-08T11:39:28.979Z] Top recommended movies for user id 72: [2026-02-08T11:39:28.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:39:28.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:39:28.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:39:28.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:39:28.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:39:28.979Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (115274.080 ms) ====== [2026-02-08T11:39:28.979Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T11:39:29.389Z] GC before operation: completed in 231.221 ms, heap usage 304.012 MB -> 97.170 MB. [2026-02-08T11:39:48.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:40:02.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:40:21.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:40:37.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:40:45.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:40:54.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:41:08.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:41:14.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:41:14.955Z] 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. [2026-02-08T11:41:14.956Z] The best model improves the baseline by 14.52%. [2026-02-08T11:41:15.436Z] Top recommended movies for user id 72: [2026-02-08T11:41:15.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:41:15.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:41:15.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:41:15.436Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:41:15.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:41:15.436Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (106425.887 ms) ====== [2026-02-08T11:41:15.436Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T11:41:15.857Z] GC before operation: completed in 170.238 ms, heap usage 283.313 MB -> 90.411 MB. [2026-02-08T11:41:32.003Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:41:43.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:41:59.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:42:12.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:42:21.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:42:30.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:42:42.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:42:51.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:42:51.645Z] 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. [2026-02-08T11:42:51.645Z] The best model improves the baseline by 14.52%. [2026-02-08T11:42:52.541Z] Top recommended movies for user id 72: [2026-02-08T11:42:52.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:42:52.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:42:52.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:42:52.541Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:42:52.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:42:52.541Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (96587.274 ms) ====== [2026-02-08T11:42:52.541Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T11:42:52.541Z] GC before operation: completed in 231.015 ms, heap usage 1.005 GB -> 96.537 MB. [2026-02-08T11:43:11.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:43:28.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:43:44.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:44:00.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:44:11.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:44:20.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:44:31.828Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:44:40.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:44:40.967Z] 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. [2026-02-08T11:44:40.967Z] The best model improves the baseline by 14.52%. [2026-02-08T11:44:41.882Z] Top recommended movies for user id 72: [2026-02-08T11:44:41.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:44:41.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:44:41.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:44:41.882Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:44:41.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:44:41.882Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (109072.460 ms) ====== [2026-02-08T11:44:41.882Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T11:44:41.882Z] GC before operation: completed in 233.820 ms, heap usage 764.824 MB -> 94.123 MB. [2026-02-08T11:45:01.388Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:45:17.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:45:36.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:45:53.101Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:46:02.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:46:11.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:46:22.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:46:33.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:46:33.688Z] 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. [2026-02-08T11:46:33.688Z] The best model improves the baseline by 14.52%. [2026-02-08T11:46:34.182Z] Top recommended movies for user id 72: [2026-02-08T11:46:34.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:46:34.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:46:34.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:46:34.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:46:34.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:46:34.182Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (112357.561 ms) ====== [2026-02-08T11:46:34.182Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T11:46:34.590Z] GC before operation: completed in 215.122 ms, heap usage 305.421 MB -> 90.261 MB. [2026-02-08T11:46:54.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:47:17.539Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:47:33.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:47:50.006Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:47:59.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:48:10.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:48:19.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:48:28.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:48:29.864Z] 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. [2026-02-08T11:48:29.864Z] The best model improves the baseline by 14.52%. [2026-02-08T11:48:30.423Z] Top recommended movies for user id 72: [2026-02-08T11:48:30.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:48:30.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:48:30.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:48:30.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:48:30.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:48:30.423Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (115921.064 ms) ====== [2026-02-08T11:48:30.423Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T11:48:30.825Z] GC before operation: completed in 235.610 ms, heap usage 107.100 MB -> 93.402 MB. [2026-02-08T11:48:46.957Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:49:03.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:49:22.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:49:38.693Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:49:46.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:49:55.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:50:06.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:50:15.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:50:15.609Z] 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. [2026-02-08T11:50:15.609Z] The best model improves the baseline by 14.52%. [2026-02-08T11:50:16.597Z] Top recommended movies for user id 72: [2026-02-08T11:50:16.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:50:16.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:50:16.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:50:16.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:50:16.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:50:16.597Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (105773.906 ms) ====== [2026-02-08T11:50:16.597Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T11:50:16.597Z] GC before operation: completed in 225.375 ms, heap usage 620.742 MB -> 94.150 MB. [2026-02-08T11:50:32.786Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:50:48.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:51:08.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:51:24.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:51:33.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:51:43.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:51:52.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:52:01.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:52:02.257Z] 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. [2026-02-08T11:52:02.649Z] The best model improves the baseline by 14.52%. [2026-02-08T11:52:03.202Z] Top recommended movies for user id 72: [2026-02-08T11:52:03.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:52:03.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:52:03.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:52:03.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:52:03.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:52:03.202Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (106640.470 ms) ====== [2026-02-08T11:52:03.202Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T11:52:03.593Z] GC before operation: completed in 219.490 ms, heap usage 201.125 MB -> 90.576 MB. [2026-02-08T11:52:23.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:52:42.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:53:02.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:53:18.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:53:29.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:53:38.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:53:49.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:53:59.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:53:59.505Z] 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. [2026-02-08T11:53:59.505Z] The best model improves the baseline by 14.52%. [2026-02-08T11:54:00.090Z] Top recommended movies for user id 72: [2026-02-08T11:54:00.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:54:00.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:54:00.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:54:00.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:54:00.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:54:00.090Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (116698.626 ms) ====== [2026-02-08T11:54:00.090Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T11:54:00.482Z] GC before operation: completed in 225.393 ms, heap usage 351.510 MB -> 93.935 MB. [2026-02-08T11:54:19.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:54:36.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:54:55.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:55:11.676Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:55:20.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:55:29.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:55:40.956Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:55:48.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:55:49.694Z] 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. [2026-02-08T11:55:49.694Z] The best model improves the baseline by 14.52%. [2026-02-08T11:55:50.230Z] Top recommended movies for user id 72: [2026-02-08T11:55:50.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:55:50.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:55:50.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:55:50.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:55:50.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:55:50.230Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (109833.933 ms) ====== [2026-02-08T11:55:50.230Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T11:55:50.612Z] GC before operation: completed in 222.232 ms, heap usage 506.722 MB -> 93.413 MB. [2026-02-08T11:56:06.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:56:26.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:56:42.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:56:58.729Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:57:07.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:57:19.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:57:28.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:57:37.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:57:37.349Z] 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. [2026-02-08T11:57:37.349Z] The best model improves the baseline by 14.52%. [2026-02-08T11:57:37.846Z] Top recommended movies for user id 72: [2026-02-08T11:57:37.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:57:37.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:57:37.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:57:37.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:57:37.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:57:37.846Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (107536.973 ms) ====== [2026-02-08T11:57:37.846Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T11:57:38.288Z] GC before operation: completed in 175.280 ms, heap usage 266.888 MB -> 93.867 MB. [2026-02-08T11:57:54.400Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:58:07.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T11:58:27.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T11:58:43.574Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T11:58:51.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T11:59:00.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T11:59:11.343Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T11:59:20.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T11:59:21.764Z] 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. [2026-02-08T11:59:22.153Z] The best model improves the baseline by 14.52%. [2026-02-08T11:59:22.748Z] Top recommended movies for user id 72: [2026-02-08T11:59:22.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T11:59:22.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T11:59:22.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T11:59:22.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T11:59:22.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T11:59:22.748Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (104513.641 ms) ====== [2026-02-08T11:59:22.748Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T11:59:23.191Z] GC before operation: completed in 241.995 ms, heap usage 134.136 MB -> 93.829 MB. [2026-02-08T11:59:42.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T11:59:58.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:00:18.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:00:34.690Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:00:43.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:00:52.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:01:02.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:01:08.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:01:08.546Z] 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. [2026-02-08T12:01:08.966Z] The best model improves the baseline by 14.52%. [2026-02-08T12:01:09.611Z] Top recommended movies for user id 72: [2026-02-08T12:01:09.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:01:09.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:01:09.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:01:09.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:01:09.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:01:09.611Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (106622.287 ms) ====== [2026-02-08T12:01:09.611Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T12:01:10.025Z] GC before operation: completed in 235.295 ms, heap usage 313.267 MB -> 90.965 MB. [2026-02-08T12:01:29.653Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:01:49.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:02:05.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:02:24.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:02:32.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:02:41.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:02:52.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:03:00.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:03:01.398Z] 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. [2026-02-08T12:03:01.783Z] The best model improves the baseline by 14.52%. [2026-02-08T12:03:02.381Z] Top recommended movies for user id 72: [2026-02-08T12:03:02.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:03:02.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:03:02.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:03:02.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:03:02.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:03:02.381Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (112428.850 ms) ====== [2026-02-08T12:03:02.381Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T12:03:02.805Z] GC before operation: completed in 229.722 ms, heap usage 522.892 MB -> 93.325 MB. [2026-02-08T12:03:22.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:03:38.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:03:57.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:04:11.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:04:18.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:04:26.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:04:33.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:04:41.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:04:42.610Z] 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. [2026-02-08T12:04:42.610Z] The best model improves the baseline by 14.52%. [2026-02-08T12:04:42.978Z] Top recommended movies for user id 72: [2026-02-08T12:04:42.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:04:42.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:04:42.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:04:42.978Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:04:42.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:04:42.978Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (100320.218 ms) ====== [2026-02-08T12:04:42.978Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T12:04:42.978Z] GC before operation: completed in 172.032 ms, heap usage 391.384 MB -> 91.117 MB. [2026-02-08T12:04:59.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:05:12.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:05:25.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:05:42.130Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:05:51.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:06:00.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:06:11.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:06:20.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:06:20.686Z] 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. [2026-02-08T12:06:20.686Z] The best model improves the baseline by 14.52%. [2026-02-08T12:06:21.459Z] Top recommended movies for user id 72: [2026-02-08T12:06:21.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:06:21.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:06:21.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:06:21.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:06:21.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:06:21.459Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (98537.994 ms) ====== [2026-02-08T12:06:21.459Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T12:06:21.459Z] GC before operation: completed in 212.949 ms, heap usage 306.425 MB -> 90.827 MB. [2026-02-08T12:06:37.714Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:06:51.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:07:07.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:07:18.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:07:25.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:07:37.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:07:48.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:07:57.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:07:58.148Z] 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. [2026-02-08T12:07:58.148Z] The best model improves the baseline by 14.52%. [2026-02-08T12:07:58.938Z] Top recommended movies for user id 72: [2026-02-08T12:07:58.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:07:58.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:07:58.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:07:58.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:07:58.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:07:58.938Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (97229.704 ms) ====== [2026-02-08T12:07:58.938Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T12:07:58.938Z] GC before operation: completed in 208.463 ms, heap usage 249.516 MB -> 90.823 MB. [2026-02-08T12:08:18.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:08:31.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:08:45.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:08:58.761Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:09:06.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:09:12.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:09:21.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:09:27.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:09:28.003Z] 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. [2026-02-08T12:09:28.383Z] The best model improves the baseline by 14.52%. [2026-02-08T12:09:28.853Z] Top recommended movies for user id 72: [2026-02-08T12:09:28.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:09:28.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:09:28.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:09:28.853Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:09:28.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:09:28.853Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (89565.441 ms) ====== [2026-02-08T12:09:28.853Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T12:09:28.853Z] GC before operation: completed in 199.994 ms, heap usage 510.475 MB -> 93.306 MB. [2026-02-08T12:09:44.986Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:09:56.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:10:15.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:10:31.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:10:39.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:10:48.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:10:59.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:11:08.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:11:08.826Z] 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. [2026-02-08T12:11:08.826Z] The best model improves the baseline by 14.52%. [2026-02-08T12:11:09.260Z] Top recommended movies for user id 72: [2026-02-08T12:11:09.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:11:09.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:11:09.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:11:09.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:11:09.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:11:09.260Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (100299.311 ms) ====== [2026-02-08T12:11:09.260Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T12:11:09.260Z] GC before operation: completed in 166.693 ms, heap usage 269.455 MB -> 92.999 MB. [2026-02-08T12:11:22.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T12:11:35.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T12:11:49.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T12:12:00.418Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T12:12:07.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T12:12:17.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T12:12:26.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T12:12:35.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T12:12:36.744Z] 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. [2026-02-08T12:12:37.144Z] The best model improves the baseline by 14.52%. [2026-02-08T12:12:37.532Z] Top recommended movies for user id 72: [2026-02-08T12:12:37.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T12:12:37.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T12:12:37.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T12:12:37.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T12:12:37.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T12:12:37.532Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (88247.586 ms) ====== [2026-02-08T12:12:38.772Z] ----------------------------------- [2026-02-08T12:12:38.772Z] renaissance-movie-lens_0_PASSED [2026-02-08T12:12:38.772Z] ----------------------------------- [2026-02-08T12:12:39.999Z] [2026-02-08T12:12:39.999Z] TEST TEARDOWN: [2026-02-08T12:12:39.999Z] Nothing to be done for teardown. [2026-02-08T12:12:40.343Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 12:12:40 2026 Epoch Time (ms): 1770552760162