[2025-10-22T05:59:07.368Z] Running test renaissance-movie-lens_0 ... [2025-10-22T05:59:07.692Z] =============================================== [2025-10-22T05:59:07.692Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 05:59:07 2025 Epoch Time (ms): 1761112747504 [2025-10-22T05:59:08.036Z] variation: NoOptions [2025-10-22T05:59:08.036Z] JVM_OPTIONS: [2025-10-22T05:59:08.036Z] { \ [2025-10-22T05:59:08.036Z] echo ""; echo "TEST SETUP:"; \ [2025-10-22T05:59:08.036Z] echo "Nothing to be done for setup."; \ [2025-10-22T05:59:08.036Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1761110678857\\renaissance-movie-lens_0"; \ [2025-10-22T05:59:08.036Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1761110678857\\renaissance-movie-lens_0"; \ [2025-10-22T05:59:08.036Z] echo ""; echo "TESTING:"; \ [2025-10-22T05:59:08.036Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1761110678857\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-10-22T05:59:08.036Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1761110678857\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-22T05:59:08.036Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-22T05:59:08.036Z] echo "Nothing to be done for teardown."; \ [2025-10-22T05:59:08.036Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1761110678857\\TestTargetResult"; [2025-10-22T05:59:08.036Z] [2025-10-22T05:59:08.036Z] TEST SETUP: [2025-10-22T05:59:08.036Z] Nothing to be done for setup. [2025-10-22T05:59:08.036Z] [2025-10-22T05:59:08.036Z] TESTING: [2025-10-22T05:59:25.001Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-22T05:59:31.130Z] 05:59:30.727 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-22T05:59:33.686Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-22T05:59:34.102Z] Training: 60056, validation: 20285, test: 19854 [2025-10-22T05:59:34.102Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-22T05:59:34.102Z] GC before operation: completed in 151.311 ms, heap usage 450.954 MB -> 76.160 MB. [2025-10-22T05:59:50.536Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:00:01.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:00:12.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:00:21.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:00:27.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:00:33.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:00:38.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:00:43.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:00:44.006Z] 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. [2025-10-22T06:00:44.006Z] The best model improves the baseline by 14.52%. [2025-10-22T06:00:44.474Z] Top recommended movies for user id 72: [2025-10-22T06:00:44.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:00:44.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:00:44.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:00:44.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:00:44.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:00:44.474Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (70208.187 ms) ====== [2025-10-22T06:00:44.474Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-22T06:00:44.474Z] GC before operation: completed in 130.235 ms, heap usage 400.529 MB -> 99.095 MB. [2025-10-22T06:00:53.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:01:03.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:01:12.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:01:21.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:01:25.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:01:30.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:01:36.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:01:40.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:01:40.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-22T06:01:40.864Z] The best model improves the baseline by 14.52%. [2025-10-22T06:01:41.209Z] Top recommended movies for user id 72: [2025-10-22T06:01:41.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:01:41.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:01:41.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:01:41.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:01:41.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:01:41.209Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (56568.113 ms) ====== [2025-10-22T06:01:41.209Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-22T06:01:41.209Z] GC before operation: completed in 108.180 ms, heap usage 281.255 MB -> 92.214 MB. [2025-10-22T06:01:50.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:01:58.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:02:07.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:02:15.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:02:19.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:02:24.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:02:29.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:02:34.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:02:34.889Z] 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. [2025-10-22T06:02:34.889Z] The best model improves the baseline by 14.52%. [2025-10-22T06:02:34.889Z] Top recommended movies for user id 72: [2025-10-22T06:02:34.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:02:34.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:02:34.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:02:34.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:02:34.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:02:34.889Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (53887.341 ms) ====== [2025-10-22T06:02:34.889Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-22T06:02:35.238Z] GC before operation: completed in 113.793 ms, heap usage 182.556 MB -> 92.903 MB. [2025-10-22T06:02:44.111Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:02:51.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:03:00.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:03:09.062Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:03:13.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:03:18.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:03:23.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:03:27.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:03:27.977Z] 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. [2025-10-22T06:03:27.977Z] The best model improves the baseline by 14.52%. [2025-10-22T06:03:28.321Z] Top recommended movies for user id 72: [2025-10-22T06:03:28.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:03:28.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:03:28.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:03:28.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:03:28.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:03:28.321Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (53120.095 ms) ====== [2025-10-22T06:03:28.321Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-22T06:03:28.321Z] GC before operation: completed in 110.189 ms, heap usage 203.398 MB -> 92.108 MB. [2025-10-22T06:03:37.200Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:03:44.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:03:55.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:04:02.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:04:07.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:04:12.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:04:16.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:04:21.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:04:22.311Z] 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. [2025-10-22T06:04:22.311Z] The best model improves the baseline by 14.52%. [2025-10-22T06:04:22.701Z] Top recommended movies for user id 72: [2025-10-22T06:04:22.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:04:22.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:04:22.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:04:22.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:04:22.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:04:22.701Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54232.088 ms) ====== [2025-10-22T06:04:22.701Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-22T06:04:22.701Z] GC before operation: completed in 103.970 ms, heap usage 375.519 MB -> 90.043 MB. [2025-10-22T06:04:33.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:04:40.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:04:49.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:04:58.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:05:02.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:05:07.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:05:12.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:05:16.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:05:17.098Z] 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. [2025-10-22T06:05:17.098Z] The best model improves the baseline by 14.52%. [2025-10-22T06:05:17.470Z] Top recommended movies for user id 72: [2025-10-22T06:05:17.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:05:17.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:05:17.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:05:17.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:05:17.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:05:17.470Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (54863.151 ms) ====== [2025-10-22T06:05:17.470Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-22T06:05:17.470Z] GC before operation: completed in 113.399 ms, heap usage 175.353 MB -> 93.318 MB. [2025-10-22T06:05:26.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:05:33.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:05:44.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:05:51.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:05:56.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:06:00.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:06:06.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:06:11.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:06:11.070Z] 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. [2025-10-22T06:06:11.070Z] The best model improves the baseline by 14.52%. [2025-10-22T06:06:11.424Z] Top recommended movies for user id 72: [2025-10-22T06:06:11.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:06:11.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:06:11.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:06:11.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:06:11.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:06:11.424Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53788.824 ms) ====== [2025-10-22T06:06:11.424Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-22T06:06:11.424Z] GC before operation: completed in 108.872 ms, heap usage 265.393 MB -> 93.376 MB. [2025-10-22T06:06:20.341Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:06:27.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:06:36.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:06:45.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:06:49.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:06:53.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:06:59.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:07:03.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:07:04.451Z] 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. [2025-10-22T06:07:04.451Z] The best model improves the baseline by 14.52%. [2025-10-22T06:07:04.451Z] Top recommended movies for user id 72: [2025-10-22T06:07:04.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:07:04.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:07:04.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:07:04.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:07:04.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:07:04.451Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53000.025 ms) ====== [2025-10-22T06:07:04.451Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-22T06:07:04.805Z] GC before operation: completed in 108.845 ms, heap usage 122.217 MB -> 90.190 MB. [2025-10-22T06:07:15.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:07:22.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:07:31.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:07:40.597Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:07:44.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:07:49.152Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:07:54.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:07:58.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:07:59.443Z] 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. [2025-10-22T06:07:59.443Z] The best model improves the baseline by 14.52%. [2025-10-22T06:07:59.795Z] Top recommended movies for user id 72: [2025-10-22T06:07:59.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:07:59.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:07:59.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:07:59.795Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:07:59.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:07:59.795Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55090.252 ms) ====== [2025-10-22T06:07:59.795Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-22T06:07:59.795Z] GC before operation: completed in 115.752 ms, heap usage 135.986 MB -> 93.227 MB. [2025-10-22T06:08:10.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:08:17.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:08:26.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:08:34.278Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:08:39.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:08:43.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:08:48.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:08:53.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:08:53.977Z] 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. [2025-10-22T06:08:53.977Z] The best model improves the baseline by 14.52%. [2025-10-22T06:08:54.335Z] Top recommended movies for user id 72: [2025-10-22T06:08:54.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:08:54.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:08:54.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:08:54.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:08:54.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:08:54.335Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54457.380 ms) ====== [2025-10-22T06:08:54.335Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-22T06:08:54.335Z] GC before operation: completed in 108.931 ms, heap usage 260.843 MB -> 93.709 MB. [2025-10-22T06:09:01.952Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:09:11.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:09:20.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:09:27.948Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:09:31.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:09:36.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:09:41.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:09:45.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:09:45.839Z] 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. [2025-10-22T06:09:45.839Z] The best model improves the baseline by 14.52%. [2025-10-22T06:09:46.188Z] Top recommended movies for user id 72: [2025-10-22T06:09:46.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:09:46.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:09:46.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:09:46.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:09:46.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:09:46.189Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51752.993 ms) ====== [2025-10-22T06:09:46.189Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-22T06:09:46.189Z] GC before operation: completed in 122.516 ms, heap usage 300.952 MB -> 92.510 MB. [2025-10-22T06:09:55.072Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:10:03.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:10:11.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:10:19.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:10:23.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:10:27.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:10:33.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:10:37.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:10:37.709Z] 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. [2025-10-22T06:10:37.710Z] The best model improves the baseline by 14.52%. [2025-10-22T06:10:38.071Z] Top recommended movies for user id 72: [2025-10-22T06:10:38.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:10:38.071Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:10:38.071Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:10:38.071Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:10:38.071Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:10:38.071Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51802.066 ms) ====== [2025-10-22T06:10:38.071Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-22T06:10:38.071Z] GC before operation: completed in 110.816 ms, heap usage 476.301 MB -> 90.765 MB. [2025-10-22T06:10:46.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:10:56.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:11:04.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:11:11.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:11:16.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:11:20.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:11:25.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:11:30.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:11:30.829Z] 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. [2025-10-22T06:11:30.829Z] The best model improves the baseline by 14.52%. [2025-10-22T06:11:31.188Z] Top recommended movies for user id 72: [2025-10-22T06:11:31.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:11:31.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:11:31.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:11:31.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:11:31.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:11:31.188Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52721.447 ms) ====== [2025-10-22T06:11:31.188Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-22T06:11:31.188Z] GC before operation: completed in 121.720 ms, heap usage 786.893 MB -> 96.789 MB. [2025-10-22T06:11:40.064Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:11:47.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:11:57.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:12:03.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:12:08.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:12:13.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:12:17.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:12:22.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:12:22.496Z] 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. [2025-10-22T06:12:22.496Z] The best model improves the baseline by 14.52%. [2025-10-22T06:12:22.841Z] Top recommended movies for user id 72: [2025-10-22T06:12:22.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:12:22.841Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:12:22.841Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:12:22.841Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:12:22.841Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:12:22.841Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51727.322 ms) ====== [2025-10-22T06:12:22.841Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-22T06:12:22.841Z] GC before operation: completed in 112.546 ms, heap usage 486.253 MB -> 92.962 MB. [2025-10-22T06:12:31.211Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:12:40.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:12:48.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:12:56.145Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:12:59.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:13:04.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:13:10.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:13:15.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:13:15.322Z] 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. [2025-10-22T06:13:15.322Z] The best model improves the baseline by 14.52%. [2025-10-22T06:13:15.673Z] Top recommended movies for user id 72: [2025-10-22T06:13:15.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:13:15.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:13:15.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:13:15.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:13:15.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:13:15.673Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (52782.044 ms) ====== [2025-10-22T06:13:15.673Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-22T06:13:15.673Z] GC before operation: completed in 119.623 ms, heap usage 206.386 MB -> 92.757 MB. [2025-10-22T06:13:23.650Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:13:31.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:13:40.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:13:47.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:13:52.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:13:57.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:14:01.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:14:06.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:14:06.571Z] 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. [2025-10-22T06:14:06.951Z] The best model improves the baseline by 14.52%. [2025-10-22T06:14:06.951Z] Top recommended movies for user id 72: [2025-10-22T06:14:06.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:14:06.951Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:14:06.951Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:14:06.951Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:14:06.951Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:14:06.951Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51236.357 ms) ====== [2025-10-22T06:14:06.951Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-22T06:14:07.312Z] GC before operation: completed in 111.061 ms, heap usage 497.896 MB -> 90.743 MB. [2025-10-22T06:14:14.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:14:23.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:14:32.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:14:39.655Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:14:43.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:14:48.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:14:53.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:14:57.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:14:58.015Z] 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. [2025-10-22T06:14:58.015Z] The best model improves the baseline by 14.52%. [2025-10-22T06:14:58.015Z] Top recommended movies for user id 72: [2025-10-22T06:14:58.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:14:58.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:14:58.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:14:58.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:14:58.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:14:58.015Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50970.400 ms) ====== [2025-10-22T06:14:58.015Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-22T06:14:58.360Z] GC before operation: completed in 111.661 ms, heap usage 501.673 MB -> 90.842 MB. [2025-10-22T06:15:07.184Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:15:16.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:15:23.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:15:32.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:15:36.089Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:15:39.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:15:45.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:15:50.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:15:50.242Z] 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. [2025-10-22T06:15:50.242Z] The best model improves the baseline by 14.52%. [2025-10-22T06:15:50.242Z] Top recommended movies for user id 72: [2025-10-22T06:15:50.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:15:50.242Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:15:50.242Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:15:50.242Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:15:50.242Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:15:50.242Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52111.285 ms) ====== [2025-10-22T06:15:50.242Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-22T06:15:50.567Z] GC before operation: completed in 117.335 ms, heap usage 268.305 MB -> 90.376 MB. [2025-10-22T06:15:59.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:16:06.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:16:15.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:16:24.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:16:28.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:16:32.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:16:36.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:16:41.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:16:41.929Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-22T06:16:41.929Z] The best model improves the baseline by 14.52%. [2025-10-22T06:16:42.271Z] Top recommended movies for user id 72: [2025-10-22T06:16:42.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:16:42.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:16:42.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:16:42.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:16:42.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:16:42.271Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51724.350 ms) ====== [2025-10-22T06:16:42.271Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-22T06:16:42.271Z] GC before operation: completed in 112.638 ms, heap usage 785.256 MB -> 94.507 MB. [2025-10-22T06:16:50.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T06:16:58.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T06:17:07.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T06:17:15.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T06:17:19.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T06:17:24.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T06:17:29.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T06:17:34.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T06:17:34.525Z] 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. [2025-10-22T06:17:34.526Z] The best model improves the baseline by 14.52%. [2025-10-22T06:17:34.888Z] Top recommended movies for user id 72: [2025-10-22T06:17:34.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T06:17:34.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T06:17:34.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T06:17:34.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T06:17:34.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T06:17:34.888Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (52495.395 ms) ====== [2025-10-22T06:17:35.229Z] ----------------------------------- [2025-10-22T06:17:35.229Z] renaissance-movie-lens_0_PASSED [2025-10-22T06:17:35.229Z] ----------------------------------- [2025-10-22T06:17:35.959Z] [2025-10-22T06:17:35.959Z] TEST TEARDOWN: [2025-10-22T06:17:35.959Z] Nothing to be done for teardown. [2025-10-22T06:17:35.959Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 06:17:35 2025 Epoch Time (ms): 1761113855923