[2026-03-04T23:06:48.542Z] Running test renaissance-movie-lens_0 ... [2026-03-04T23:06:48.874Z] =============================================== [2026-03-04T23:06:48.874Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 23:06:48 2026 Epoch Time (ms): 1772665608682 [2026-03-04T23:06:48.874Z] variation: NoOptions [2026-03-04T23:06:49.223Z] JVM_OPTIONS: [2026-03-04T23:06:49.223Z] { \ [2026-03-04T23:06:49.223Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T23:06:49.223Z] echo "Nothing to be done for setup."; \ [2026-03-04T23:06:49.223Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726644124830\\renaissance-movie-lens_0"; \ [2026-03-04T23:06:49.223Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726644124830\\renaissance-movie-lens_0"; \ [2026-03-04T23:06:49.223Z] echo ""; echo "TESTING:"; \ [2026-03-04T23:06:49.223Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726644124830\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-03-04T23:06:49.223Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726644124830\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T23:06:49.223Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T23:06:49.223Z] echo "Nothing to be done for teardown."; \ [2026-03-04T23:06:49.223Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726644124830\\TestTargetResult"; [2026-03-04T23:06:49.223Z] [2026-03-04T23:06:49.223Z] TEST SETUP: [2026-03-04T23:06:49.223Z] Nothing to be done for setup. [2026-03-04T23:06:49.223Z] [2026-03-04T23:06:49.223Z] TESTING: [2026-03-04T23:07:01.924Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T23:07:08.256Z] 23:07:07.311 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. [2026-03-04T23:07:10.095Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T23:07:10.533Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T23:07:10.533Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T23:07:10.533Z] GC before operation: completed in 115.766 ms, heap usage 382.624 MB -> 76.239 MB. [2026-03-04T23:07:21.925Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:07:30.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:07:40.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:07:49.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:07:52.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:07:57.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:08:02.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:08:07.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:08:07.738Z] 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. [2026-03-04T23:08:07.738Z] The best model improves the baseline by 14.52%. [2026-03-04T23:08:08.148Z] Top recommended movies for user id 72: [2026-03-04T23:08:08.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:08:08.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:08:08.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:08:08.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:08:08.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:08:08.148Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57468.199 ms) ====== [2026-03-04T23:08:08.148Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T23:08:08.148Z] GC before operation: completed in 118.824 ms, heap usage 181.250 MB -> 86.933 MB. [2026-03-04T23:08:15.520Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:08:22.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:08:31.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:08:37.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:08:41.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:08:46.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:08:51.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:08:55.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:08:55.443Z] 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. [2026-03-04T23:08:55.443Z] The best model improves the baseline by 14.52%. [2026-03-04T23:08:55.790Z] Top recommended movies for user id 72: [2026-03-04T23:08:55.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:08:55.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:08:55.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:08:55.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:08:55.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:08:55.790Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47676.722 ms) ====== [2026-03-04T23:08:55.790Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T23:08:55.790Z] GC before operation: completed in 111.988 ms, heap usage 282.852 MB -> 89.107 MB. [2026-03-04T23:09:03.225Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:09:10.568Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:09:17.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:09:25.279Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:09:29.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:09:32.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:09:37.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:09:41.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:09:42.083Z] 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. [2026-03-04T23:09:42.083Z] The best model improves the baseline by 14.52%. [2026-03-04T23:09:42.457Z] Top recommended movies for user id 72: [2026-03-04T23:09:42.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:09:42.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:09:42.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:09:42.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:09:42.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:09:42.458Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46415.999 ms) ====== [2026-03-04T23:09:42.458Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T23:09:42.458Z] GC before operation: completed in 119.678 ms, heap usage 178.929 MB -> 89.696 MB. [2026-03-04T23:09:49.873Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:09:55.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:10:05.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:10:11.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:10:14.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:10:19.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:10:23.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:10:27.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:10:27.976Z] 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. [2026-03-04T23:10:27.976Z] The best model improves the baseline by 14.52%. [2026-03-04T23:10:28.349Z] Top recommended movies for user id 72: [2026-03-04T23:10:28.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:10:28.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:10:28.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:10:28.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:10:28.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:10:28.349Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45947.982 ms) ====== [2026-03-04T23:10:28.349Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T23:10:28.349Z] GC before operation: completed in 113.447 ms, heap usage 118.754 MB -> 89.893 MB. [2026-03-04T23:10:35.743Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:10:41.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:10:50.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:10:56.830Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:11:01.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:11:04.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:11:09.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:11:13.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:11:13.529Z] 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. [2026-03-04T23:11:13.887Z] The best model improves the baseline by 14.52%. [2026-03-04T23:11:13.887Z] Top recommended movies for user id 72: [2026-03-04T23:11:13.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:11:13.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:11:13.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:11:13.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:11:13.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:11:13.887Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (45443.046 ms) ====== [2026-03-04T23:11:13.887Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T23:11:14.248Z] GC before operation: completed in 113.950 ms, heap usage 277.167 MB -> 90.091 MB. [2026-03-04T23:11:21.675Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:11:29.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:11:36.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:11:42.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:11:46.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:11:50.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:11:55.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:11:58.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:11:58.695Z] 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. [2026-03-04T23:11:58.695Z] The best model improves the baseline by 14.52%. [2026-03-04T23:11:59.056Z] Top recommended movies for user id 72: [2026-03-04T23:11:59.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:11:59.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:11:59.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:11:59.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:11:59.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:11:59.056Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (44945.872 ms) ====== [2026-03-04T23:11:59.056Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T23:11:59.056Z] GC before operation: completed in 120.921 ms, heap usage 670.920 MB -> 94.132 MB. [2026-03-04T23:12:06.460Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:12:12.526Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:12:21.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:12:27.787Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:12:30.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:12:34.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:12:38.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:12:42.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:12:42.921Z] 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. [2026-03-04T23:12:42.921Z] The best model improves the baseline by 14.52%. [2026-03-04T23:12:43.270Z] Top recommended movies for user id 72: [2026-03-04T23:12:43.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:12:43.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:12:43.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:12:43.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:12:43.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:12:43.270Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (44067.984 ms) ====== [2026-03-04T23:12:43.270Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T23:12:43.270Z] GC before operation: completed in 122.387 ms, heap usage 253.409 MB -> 90.262 MB. [2026-03-04T23:12:50.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:12:58.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:13:05.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:13:11.617Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:13:15.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:13:20.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:13:25.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:13:29.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:13:29.094Z] 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. [2026-03-04T23:13:29.094Z] The best model improves the baseline by 14.52%. [2026-03-04T23:13:29.449Z] Top recommended movies for user id 72: [2026-03-04T23:13:29.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:13:29.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:13:29.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:13:29.449Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:13:29.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:13:29.449Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46163.989 ms) ====== [2026-03-04T23:13:29.449Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T23:13:29.449Z] GC before operation: completed in 117.580 ms, heap usage 276.704 MB -> 90.626 MB. [2026-03-04T23:13:36.830Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:13:44.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:13:51.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:13:59.056Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:14:02.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:14:05.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:14:10.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:14:14.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:14:14.771Z] 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. [2026-03-04T23:14:14.771Z] The best model improves the baseline by 14.52%. [2026-03-04T23:14:15.146Z] Top recommended movies for user id 72: [2026-03-04T23:14:15.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:14:15.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:14:15.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:14:15.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:14:15.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:14:15.146Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (45387.667 ms) ====== [2026-03-04T23:14:15.146Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T23:14:15.146Z] GC before operation: completed in 116.855 ms, heap usage 287.312 MB -> 90.429 MB. [2026-03-04T23:14:22.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:14:29.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:14:37.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:14:43.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:14:47.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:14:51.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:14:55.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:14:59.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:15:00.205Z] 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. [2026-03-04T23:15:00.205Z] The best model improves the baseline by 14.52%. [2026-03-04T23:15:00.561Z] Top recommended movies for user id 72: [2026-03-04T23:15:00.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:15:00.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:15:00.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:15:00.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:15:00.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:15:00.561Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45477.051 ms) ====== [2026-03-04T23:15:00.561Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T23:15:00.561Z] GC before operation: completed in 118.031 ms, heap usage 390.387 MB -> 90.814 MB. [2026-03-04T23:15:07.945Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:15:15.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:15:22.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:15:30.117Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:15:33.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:15:38.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:15:41.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:15:45.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:15:46.576Z] 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. [2026-03-04T23:15:46.576Z] The best model improves the baseline by 14.52%. [2026-03-04T23:15:46.576Z] Top recommended movies for user id 72: [2026-03-04T23:15:46.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:15:46.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:15:46.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:15:46.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:15:46.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:15:46.576Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (45945.267 ms) ====== [2026-03-04T23:15:46.576Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T23:15:46.937Z] GC before operation: completed in 116.298 ms, heap usage 355.785 MB -> 90.594 MB. [2026-03-04T23:15:54.319Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:16:00.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:16:09.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:16:15.489Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:16:19.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:16:23.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:16:27.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:16:31.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:16:31.843Z] 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. [2026-03-04T23:16:31.843Z] The best model improves the baseline by 14.52%. [2026-03-04T23:16:31.843Z] Top recommended movies for user id 72: [2026-03-04T23:16:31.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:16:31.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:16:31.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:16:31.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:16:31.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:16:31.843Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (45131.491 ms) ====== [2026-03-04T23:16:31.843Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T23:16:32.202Z] GC before operation: completed in 117.216 ms, heap usage 284.055 MB -> 90.599 MB. [2026-03-04T23:16:39.678Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:16:47.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:16:54.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:17:00.469Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:17:04.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:17:09.269Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:17:13.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:17:17.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:17:17.715Z] 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. [2026-03-04T23:17:18.105Z] The best model improves the baseline by 14.52%. [2026-03-04T23:17:18.105Z] Top recommended movies for user id 72: [2026-03-04T23:17:18.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:17:18.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:17:18.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:17:18.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:17:18.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:17:18.105Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46145.646 ms) ====== [2026-03-04T23:17:18.105Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T23:17:18.471Z] GC before operation: completed in 118.877 ms, heap usage 157.826 MB -> 90.687 MB. [2026-03-04T23:17:25.890Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:17:32.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:17:39.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:17:46.805Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:17:50.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:17:54.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:17:58.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:18:02.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:18:02.908Z] 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. [2026-03-04T23:18:02.908Z] The best model improves the baseline by 14.52%. [2026-03-04T23:18:03.258Z] Top recommended movies for user id 72: [2026-03-04T23:18:03.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:18:03.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:18:03.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:18:03.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:18:03.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:18:03.258Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (44867.411 ms) ====== [2026-03-04T23:18:03.258Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T23:18:03.258Z] GC before operation: completed in 117.296 ms, heap usage 284.057 MB -> 90.578 MB. [2026-03-04T23:18:10.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:18:18.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:18:25.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:18:31.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:18:36.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:18:39.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:18:44.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:18:48.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:18:48.547Z] 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. [2026-03-04T23:18:48.547Z] The best model improves the baseline by 14.52%. [2026-03-04T23:18:48.903Z] Top recommended movies for user id 72: [2026-03-04T23:18:48.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:18:48.903Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:18:48.903Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:18:48.903Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:18:48.903Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:18:48.903Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45565.940 ms) ====== [2026-03-04T23:18:48.903Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T23:18:48.904Z] GC before operation: completed in 116.686 ms, heap usage 287.256 MB -> 90.851 MB. [2026-03-04T23:18:56.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:19:03.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:19:11.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:19:17.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:19:21.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:19:25.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:19:30.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:19:34.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:19:34.680Z] 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. [2026-03-04T23:19:34.680Z] The best model improves the baseline by 14.52%. [2026-03-04T23:19:34.680Z] Top recommended movies for user id 72: [2026-03-04T23:19:34.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:19:34.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:19:34.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:19:34.680Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:19:34.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:19:34.680Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45796.014 ms) ====== [2026-03-04T23:19:34.680Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T23:19:35.036Z] GC before operation: completed in 125.826 ms, heap usage 100.185 MB -> 90.347 MB. [2026-03-04T23:19:42.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:19:48.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:19:55.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:20:03.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:20:07.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:20:11.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:20:15.837Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:20:19.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:20:19.706Z] 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. [2026-03-04T23:20:19.706Z] The best model improves the baseline by 14.52%. [2026-03-04T23:20:20.079Z] Top recommended movies for user id 72: [2026-03-04T23:20:20.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:20:20.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:20:20.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:20:20.079Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:20:20.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:20:20.079Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45048.657 ms) ====== [2026-03-04T23:20:20.079Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T23:20:20.079Z] GC before operation: completed in 120.864 ms, heap usage 254.503 MB -> 90.732 MB. [2026-03-04T23:20:27.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:20:34.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:20:42.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:20:48.309Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:20:52.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:20:56.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:21:00.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:21:04.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:21:05.602Z] 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. [2026-03-04T23:21:05.602Z] The best model improves the baseline by 14.52%. [2026-03-04T23:21:05.602Z] Top recommended movies for user id 72: [2026-03-04T23:21:05.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:21:05.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:21:05.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:21:05.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:21:05.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:21:05.602Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45629.408 ms) ====== [2026-03-04T23:21:05.602Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T23:21:05.958Z] GC before operation: completed in 116.920 ms, heap usage 119.377 MB -> 90.351 MB. [2026-03-04T23:21:13.499Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:21:19.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:21:27.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:21:33.894Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:21:38.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:21:41.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:21:47.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:21:50.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:21:50.298Z] 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. [2026-03-04T23:21:50.298Z] The best model improves the baseline by 14.52%. [2026-03-04T23:21:50.708Z] Top recommended movies for user id 72: [2026-03-04T23:21:50.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:21:50.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:21:50.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:21:50.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:21:50.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:21:50.708Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44865.592 ms) ====== [2026-03-04T23:21:50.708Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T23:21:50.708Z] GC before operation: completed in 116.342 ms, heap usage 262.844 MB -> 90.735 MB. [2026-03-04T23:21:58.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:22:04.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:22:13.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:22:19.395Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:22:23.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:22:27.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:22:31.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:22:34.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:22:35.342Z] 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. [2026-03-04T23:22:35.694Z] The best model improves the baseline by 14.52%. [2026-03-04T23:22:36.048Z] Top recommended movies for user id 72: [2026-03-04T23:22:36.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:22:36.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:22:36.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:22:36.048Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:22:36.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:22:36.048Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45100.817 ms) ====== [2026-03-04T23:22:36.401Z] ----------------------------------- [2026-03-04T23:22:36.401Z] renaissance-movie-lens_0_PASSED [2026-03-04T23:22:36.401Z] ----------------------------------- [2026-03-04T23:22:36.742Z] [2026-03-04T23:22:36.742Z] TEST TEARDOWN: [2026-03-04T23:22:36.742Z] Nothing to be done for teardown. [2026-03-04T23:22:37.095Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 23:22:36 2026 Epoch Time (ms): 1772666556775