[2026-01-15T02:29:09.953Z] Running test renaissance-movie-lens_0 ... [2026-01-15T02:29:09.953Z] =============================================== [2026-01-15T02:29:09.953Z] renaissance-movie-lens_0 Start Time: Thu Jan 15 02:29:09 2026 Epoch Time (ms): 1768444149859 [2026-01-15T02:29:10.294Z] variation: NoOptions [2026-01-15T02:29:10.665Z] JVM_OPTIONS: [2026-01-15T02:29:10.665Z] { \ [2026-01-15T02:29:10.665Z] echo ""; echo "TEST SETUP:"; \ [2026-01-15T02:29:10.665Z] echo "Nothing to be done for setup."; \ [2026-01-15T02:29:10.665Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17684418026734\\renaissance-movie-lens_0"; \ [2026-01-15T02:29:10.665Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17684418026734\\renaissance-movie-lens_0"; \ [2026-01-15T02:29:10.665Z] echo ""; echo "TESTING:"; \ [2026-01-15T02:29:10.665Z] "c:/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17684418026734\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-15T02:29:10.665Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17684418026734\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-15T02:29:10.665Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-15T02:29:10.665Z] echo "Nothing to be done for teardown."; \ [2026-01-15T02:29:10.665Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17684418026734\\TestTargetResult"; [2026-01-15T02:29:10.665Z] [2026-01-15T02:29:10.665Z] TEST SETUP: [2026-01-15T02:29:10.665Z] Nothing to be done for setup. [2026-01-15T02:29:10.665Z] [2026-01-15T02:29:10.665Z] TESTING: [2026-01-15T02:29:26.699Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-15T02:29:34.411Z] 02:29:33.991 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-15T02:29:37.221Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-15T02:29:37.948Z] Training: 60056, validation: 20285, test: 19854 [2026-01-15T02:29:37.948Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-15T02:29:37.948Z] GC before operation: completed in 147.047 ms, heap usage 229.285 MB -> 74.886 MB. [2026-01-15T02:29:51.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:30:03.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:30:14.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:30:23.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:30:29.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:30:35.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:30:41.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:30:46.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:30:47.034Z] 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. [2026-01-15T02:30:47.034Z] The best model improves the baseline by 14.52%. [2026-01-15T02:30:47.429Z] Top recommended movies for user id 72: [2026-01-15T02:30:47.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:30:47.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:30:47.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:30:47.429Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:30:47.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:30:47.429Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (69794.879 ms) ====== [2026-01-15T02:30:47.429Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-15T02:30:47.795Z] GC before operation: completed in 182.766 ms, heap usage 422.503 MB -> 86.110 MB. [2026-01-15T02:30:56.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:31:05.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:31:17.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:31:26.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:31:30.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:31:35.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:31:41.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:31:46.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:31:47.200Z] 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. [2026-01-15T02:31:47.200Z] The best model improves the baseline by 14.52%. [2026-01-15T02:31:47.664Z] Top recommended movies for user id 72: [2026-01-15T02:31:47.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:31:47.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:31:47.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:31:47.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:31:47.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:31:47.664Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (60093.343 ms) ====== [2026-01-15T02:31:47.664Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-15T02:31:48.022Z] GC before operation: completed in 182.152 ms, heap usage 206.738 MB -> 87.941 MB. [2026-01-15T02:31:57.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:32:08.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:32:17.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:32:26.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:32:30.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:32:36.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:32:41.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:32:47.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:32:47.693Z] 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. [2026-01-15T02:32:47.693Z] The best model improves the baseline by 14.52%. [2026-01-15T02:32:48.068Z] Top recommended movies for user id 72: [2026-01-15T02:32:48.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:32:48.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:32:48.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:32:48.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:32:48.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:32:48.068Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (60137.506 ms) ====== [2026-01-15T02:32:48.068Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-15T02:32:48.068Z] GC before operation: completed in 159.755 ms, heap usage 215.437 MB -> 88.573 MB. [2026-01-15T02:32:57.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:33:06.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:33:15.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:33:26.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:33:31.322Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:33:36.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:33:42.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:33:47.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:33:47.188Z] 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. [2026-01-15T02:33:47.188Z] The best model improves the baseline by 14.52%. [2026-01-15T02:33:47.564Z] Top recommended movies for user id 72: [2026-01-15T02:33:47.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:33:47.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:33:47.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:33:47.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:33:47.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:33:47.564Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59310.290 ms) ====== [2026-01-15T02:33:47.564Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-15T02:33:47.564Z] GC before operation: completed in 166.097 ms, heap usage 213.733 MB -> 88.859 MB. [2026-01-15T02:33:56.578Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:34:05.720Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:34:16.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:34:25.834Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:34:29.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:34:35.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:34:40.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:34:45.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:34:46.820Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-15T02:34:46.820Z] The best model improves the baseline by 14.52%. [2026-01-15T02:34:47.256Z] Top recommended movies for user id 72: [2026-01-15T02:34:47.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:34:47.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:34:47.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:34:47.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:34:47.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:34:47.256Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (59366.721 ms) ====== [2026-01-15T02:34:47.256Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-15T02:34:47.256Z] GC before operation: completed in 157.342 ms, heap usage 200.610 MB -> 88.779 MB. [2026-01-15T02:34:56.346Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:35:05.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:35:14.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:35:23.575Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:35:28.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:35:33.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:35:39.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:35:44.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:35:44.311Z] 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. [2026-01-15T02:35:44.311Z] The best model improves the baseline by 14.52%. [2026-01-15T02:35:44.686Z] Top recommended movies for user id 72: [2026-01-15T02:35:44.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:35:44.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:35:44.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:35:44.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:35:44.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:35:44.686Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57445.432 ms) ====== [2026-01-15T02:35:44.686Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-15T02:35:44.686Z] GC before operation: completed in 172.596 ms, heap usage 197.100 MB -> 89.131 MB. [2026-01-15T02:35:53.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:36:01.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:36:12.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:36:21.349Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:36:25.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:36:30.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:36:35.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:36:39.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:36:40.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-15T02:36:40.843Z] The best model improves the baseline by 14.52%. [2026-01-15T02:36:40.843Z] Top recommended movies for user id 72: [2026-01-15T02:36:40.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:36:40.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:36:40.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:36:40.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:36:40.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:36:40.843Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (56086.142 ms) ====== [2026-01-15T02:36:40.843Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-15T02:36:41.232Z] GC before operation: completed in 174.324 ms, heap usage 197.610 MB -> 89.060 MB. [2026-01-15T02:36:50.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:36:59.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:37:08.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:37:17.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:37:21.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:37:26.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:37:32.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:37:38.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:37:38.814Z] 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. [2026-01-15T02:37:38.814Z] The best model improves the baseline by 14.52%. [2026-01-15T02:37:38.814Z] Top recommended movies for user id 72: [2026-01-15T02:37:38.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:37:38.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:37:38.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:37:38.814Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:37:38.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:37:38.814Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (57812.346 ms) ====== [2026-01-15T02:37:38.814Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-15T02:37:39.188Z] GC before operation: completed in 161.348 ms, heap usage 182.788 MB -> 89.264 MB. [2026-01-15T02:37:48.266Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:37:55.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:38:06.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:38:15.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:38:19.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:38:24.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:38:30.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:38:35.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:38:35.759Z] 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. [2026-01-15T02:38:35.759Z] The best model improves the baseline by 14.52%. [2026-01-15T02:38:36.150Z] Top recommended movies for user id 72: [2026-01-15T02:38:36.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:38:36.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:38:36.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:38:36.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:38:36.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:38:36.150Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (57117.343 ms) ====== [2026-01-15T02:38:36.150Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-15T02:38:36.150Z] GC before operation: completed in 161.916 ms, heap usage 195.407 MB -> 89.143 MB. [2026-01-15T02:38:45.256Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:38:54.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:39:05.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:39:12.841Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:39:17.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:39:22.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:39:28.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:39:33.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:39:34.065Z] 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. [2026-01-15T02:39:34.065Z] The best model improves the baseline by 14.52%. [2026-01-15T02:39:34.065Z] Top recommended movies for user id 72: [2026-01-15T02:39:34.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:39:34.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:39:34.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:39:34.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:39:34.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:39:34.065Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (57805.352 ms) ====== [2026-01-15T02:39:34.065Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-15T02:39:34.431Z] GC before operation: completed in 160.143 ms, heap usage 180.529 MB -> 89.335 MB. [2026-01-15T02:39:43.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:39:52.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:40:01.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:40:10.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:40:14.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:40:19.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:40:25.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:40:30.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:40:30.935Z] 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. [2026-01-15T02:40:30.935Z] The best model improves the baseline by 14.52%. [2026-01-15T02:40:31.355Z] Top recommended movies for user id 72: [2026-01-15T02:40:31.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:40:31.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:40:31.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:40:31.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:40:31.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:40:31.355Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (56861.670 ms) ====== [2026-01-15T02:40:31.355Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-15T02:40:31.355Z] GC before operation: completed in 162.126 ms, heap usage 176.318 MB -> 89.052 MB. [2026-01-15T02:40:40.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:40:49.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:40:58.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:41:07.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:41:12.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:41:17.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:41:23.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:41:28.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:41:28.892Z] 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. [2026-01-15T02:41:28.892Z] The best model improves the baseline by 14.52%. [2026-01-15T02:41:29.256Z] Top recommended movies for user id 72: [2026-01-15T02:41:29.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:41:29.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:41:29.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:41:29.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:41:29.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:41:29.256Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (57903.589 ms) ====== [2026-01-15T02:41:29.256Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-15T02:41:29.256Z] GC before operation: completed in 156.474 ms, heap usage 121.025 MB -> 89.184 MB. [2026-01-15T02:41:38.335Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:41:47.425Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:41:56.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:42:05.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:42:10.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:42:15.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:42:21.442Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:42:25.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:42:26.249Z] 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. [2026-01-15T02:42:26.249Z] The best model improves the baseline by 14.52%. [2026-01-15T02:42:26.635Z] Top recommended movies for user id 72: [2026-01-15T02:42:26.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:42:26.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:42:26.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:42:26.635Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:42:26.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:42:26.635Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56943.525 ms) ====== [2026-01-15T02:42:26.635Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-15T02:42:26.635Z] GC before operation: completed in 156.033 ms, heap usage 177.140 MB -> 89.358 MB. [2026-01-15T02:42:35.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:42:44.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:42:54.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:43:03.095Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:43:07.013Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:43:11.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:43:17.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:43:22.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:43:23.306Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-15T02:43:23.306Z] The best model improves the baseline by 14.52%. [2026-01-15T02:43:23.705Z] Top recommended movies for user id 72: [2026-01-15T02:43:23.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:43:23.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:43:23.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:43:23.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:43:23.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:43:23.706Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (57227.084 ms) ====== [2026-01-15T02:43:23.706Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-15T02:43:24.066Z] GC before operation: completed in 163.856 ms, heap usage 197.982 MB -> 89.204 MB. [2026-01-15T02:43:33.120Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:43:42.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:43:51.415Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:43:58.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:44:03.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:44:09.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:44:14.828Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:44:19.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:44:19.719Z] 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. [2026-01-15T02:44:19.719Z] The best model improves the baseline by 14.52%. [2026-01-15T02:44:20.124Z] Top recommended movies for user id 72: [2026-01-15T02:44:20.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:44:20.124Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:44:20.124Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:44:20.124Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:44:20.124Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:44:20.124Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (56301.564 ms) ====== [2026-01-15T02:44:20.124Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-15T02:44:20.499Z] GC before operation: completed in 153.714 ms, heap usage 213.907 MB -> 89.428 MB. [2026-01-15T02:44:29.543Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:44:38.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:44:47.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:44:56.798Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:45:00.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:45:05.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:45:11.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:45:15.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:45:16.473Z] 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. [2026-01-15T02:45:16.473Z] The best model improves the baseline by 14.52%. [2026-01-15T02:45:16.843Z] Top recommended movies for user id 72: [2026-01-15T02:45:16.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:45:16.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:45:16.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:45:16.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:45:16.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:45:16.843Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (56479.455 ms) ====== [2026-01-15T02:45:16.843Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-15T02:45:16.843Z] GC before operation: completed in 154.844 ms, heap usage 196.441 MB -> 89.261 MB. [2026-01-15T02:45:25.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:45:35.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:45:46.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:45:53.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:45:58.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:46:03.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:46:09.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:46:13.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:46:14.214Z] 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. [2026-01-15T02:46:14.214Z] The best model improves the baseline by 14.52%. [2026-01-15T02:46:14.618Z] Top recommended movies for user id 72: [2026-01-15T02:46:14.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:46:14.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:46:14.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:46:14.618Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:46:14.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:46:14.618Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (57470.124 ms) ====== [2026-01-15T02:46:14.618Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-15T02:46:14.618Z] GC before operation: completed in 162.914 ms, heap usage 168.943 MB -> 89.359 MB. [2026-01-15T02:46:23.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:46:31.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:46:42.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:46:51.307Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:46:55.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:47:00.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:47:05.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:47:09.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:47:10.287Z] 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. [2026-01-15T02:47:10.287Z] The best model improves the baseline by 14.52%. [2026-01-15T02:47:10.659Z] Top recommended movies for user id 72: [2026-01-15T02:47:10.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:47:10.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:47:10.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:47:10.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:47:10.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:47:10.659Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (56075.556 ms) ====== [2026-01-15T02:47:10.659Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-15T02:47:10.659Z] GC before operation: completed in 151.459 ms, heap usage 264.760 MB -> 89.306 MB. [2026-01-15T02:47:19.742Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:47:28.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:47:37.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:47:46.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:47:50.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:47:56.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:48:01.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:48:06.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:48:07.595Z] 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. [2026-01-15T02:48:07.595Z] The best model improves the baseline by 14.52%. [2026-01-15T02:48:07.957Z] Top recommended movies for user id 72: [2026-01-15T02:48:07.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:48:07.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:48:07.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:48:07.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:48:07.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:48:07.957Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (56849.158 ms) ====== [2026-01-15T02:48:07.957Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-15T02:48:07.957Z] GC before operation: completed in 158.706 ms, heap usage 166.793 MB -> 89.296 MB. [2026-01-15T02:48:17.002Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T02:48:24.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T02:48:33.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T02:48:42.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T02:48:47.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T02:48:52.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T02:48:58.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T02:49:03.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T02:49:03.465Z] 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. [2026-01-15T02:49:03.465Z] The best model improves the baseline by 14.52%. [2026-01-15T02:49:03.832Z] Top recommended movies for user id 72: [2026-01-15T02:49:03.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-15T02:49:03.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-15T02:49:03.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-15T02:49:03.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-15T02:49:03.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-15T02:49:03.832Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (56022.359 ms) ====== [2026-01-15T02:49:04.191Z] ----------------------------------- [2026-01-15T02:49:04.191Z] renaissance-movie-lens_0_PASSED [2026-01-15T02:49:04.191Z] ----------------------------------- [2026-01-15T02:49:04.939Z] [2026-01-15T02:49:04.939Z] TEST TEARDOWN: [2026-01-15T02:49:04.939Z] Nothing to be done for teardown. [2026-01-15T02:49:04.939Z] renaissance-movie-lens_0 Finish Time: Thu Jan 15 02:49:04 2026 Epoch Time (ms): 1768445344845