[2025-10-02T23:38:19.490Z] Running test renaissance-movie-lens_0 ... [2025-10-02T23:38:19.490Z] =============================================== [2025-10-02T23:38:19.490Z] renaissance-movie-lens_0 Start Time: Thu Oct 2 23:38:18 2025 Epoch Time (ms): 1759448298754 [2025-10-02T23:38:19.490Z] variation: NoOptions [2025-10-02T23:38:19.490Z] JVM_OPTIONS: [2025-10-02T23:38:19.490Z] { \ [2025-10-02T23:38:19.490Z] echo ""; echo "TEST SETUP:"; \ [2025-10-02T23:38:19.490Z] echo "Nothing to be done for setup."; \ [2025-10-02T23:38:19.490Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17594463949376/renaissance-movie-lens_0"; \ [2025-10-02T23:38:19.490Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17594463949376/renaissance-movie-lens_0"; \ [2025-10-02T23:38:19.490Z] echo ""; echo "TESTING:"; \ [2025-10-02T23:38:19.490Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/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 "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17594463949376/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-02T23:38:19.490Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17594463949376/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-02T23:38:19.490Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-02T23:38:19.490Z] echo "Nothing to be done for teardown."; \ [2025-10-02T23:38:19.490Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17594463949376/TestTargetResult"; [2025-10-02T23:38:19.490Z] [2025-10-02T23:38:19.490Z] TEST SETUP: [2025-10-02T23:38:19.490Z] Nothing to be done for setup. [2025-10-02T23:38:19.490Z] [2025-10-02T23:38:19.490Z] TESTING: [2025-10-02T23:38:34.915Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-02T23:38:56.294Z] 23:38:53.400 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. [2025-10-02T23:39:01.591Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-02T23:39:03.319Z] Training: 60056, validation: 20285, test: 19854 [2025-10-02T23:39:03.319Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-02T23:39:04.259Z] GC before operation: completed in 482.164 ms, heap usage 224.534 MB -> 74.562 MB. [2025-10-02T23:39:29.334Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:39:45.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:39:56.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:40:11.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:40:19.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:40:25.026Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:40:31.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:40:35.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:40:37.243Z] 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. [2025-10-02T23:40:37.243Z] The best model improves the baseline by 14.52%. [2025-10-02T23:40:37.950Z] Top recommended movies for user id 72: [2025-10-02T23:40:37.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:40:37.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:40:37.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:40:37.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:40:37.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:40:37.950Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (94406.308 ms) ====== [2025-10-02T23:40:37.950Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-02T23:40:38.665Z] GC before operation: completed in 375.354 ms, heap usage 131.414 MB -> 85.251 MB. [2025-10-02T23:40:46.549Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:40:55.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:41:03.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:41:15.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:41:22.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:41:28.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:41:32.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:41:37.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:41:38.382Z] 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. [2025-10-02T23:41:38.382Z] The best model improves the baseline by 14.52%. [2025-10-02T23:41:38.382Z] Top recommended movies for user id 72: [2025-10-02T23:41:38.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:41:38.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:41:38.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:41:38.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:41:38.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:41:38.382Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (59967.154 ms) ====== [2025-10-02T23:41:38.382Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-02T23:41:39.102Z] GC before operation: completed in 433.531 ms, heap usage 435.037 MB -> 87.677 MB. [2025-10-02T23:41:48.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:41:56.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:42:05.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:42:14.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:42:18.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:42:23.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:42:28.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:42:34.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:42:35.008Z] 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. [2025-10-02T23:42:35.008Z] The best model improves the baseline by 14.52%. [2025-10-02T23:42:35.720Z] Top recommended movies for user id 72: [2025-10-02T23:42:35.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:42:35.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:42:35.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:42:35.720Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:42:35.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:42:35.720Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (56514.577 ms) ====== [2025-10-02T23:42:35.720Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-02T23:42:35.720Z] GC before operation: completed in 437.255 ms, heap usage 121.580 MB -> 87.975 MB. [2025-10-02T23:42:45.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:42:53.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:43:01.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:43:09.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:43:16.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:43:20.413Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:43:25.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:43:31.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:43:31.772Z] 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. [2025-10-02T23:43:32.488Z] The best model improves the baseline by 14.52%. [2025-10-02T23:43:33.229Z] Top recommended movies for user id 72: [2025-10-02T23:43:33.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:43:33.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:43:33.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:43:33.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:43:33.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:43:33.229Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57087.749 ms) ====== [2025-10-02T23:43:33.229Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-02T23:43:33.229Z] GC before operation: completed in 409.847 ms, heap usage 262.700 MB -> 88.466 MB. [2025-10-02T23:43:43.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:43:51.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:44:00.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:44:08.419Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:44:13.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:44:17.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:44:23.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:44:27.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:44:27.422Z] 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. [2025-10-02T23:44:27.422Z] The best model improves the baseline by 14.52%. [2025-10-02T23:44:28.175Z] Top recommended movies for user id 72: [2025-10-02T23:44:28.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:44:28.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:44:28.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:44:28.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:44:28.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:44:28.175Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54775.519 ms) ====== [2025-10-02T23:44:28.175Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-02T23:44:28.175Z] GC before operation: completed in 405.176 ms, heap usage 128.155 MB -> 88.202 MB. [2025-10-02T23:44:36.017Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:44:42.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:44:49.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:44:56.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:45:00.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:45:05.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:45:09.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:45:13.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:45:13.777Z] 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. [2025-10-02T23:45:13.777Z] The best model improves the baseline by 14.52%. [2025-10-02T23:45:14.567Z] Top recommended movies for user id 72: [2025-10-02T23:45:14.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:45:14.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:45:14.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:45:14.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:45:14.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:45:14.567Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (45897.789 ms) ====== [2025-10-02T23:45:14.567Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-02T23:45:14.567Z] GC before operation: completed in 368.966 ms, heap usage 308.583 MB -> 88.771 MB. [2025-10-02T23:45:22.406Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:45:29.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:45:35.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:45:41.109Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:45:45.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:45:49.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:45:53.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:45:57.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:45:58.660Z] 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. [2025-10-02T23:45:58.660Z] The best model improves the baseline by 14.52%. [2025-10-02T23:45:58.660Z] Top recommended movies for user id 72: [2025-10-02T23:45:58.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:45:58.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:45:58.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:45:58.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:45:58.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:45:58.660Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (44102.427 ms) ====== [2025-10-02T23:45:58.660Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-02T23:45:59.386Z] GC before operation: completed in 327.836 ms, heap usage 144.791 MB -> 88.487 MB. [2025-10-02T23:46:05.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:46:12.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:46:18.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:46:24.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:46:29.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:46:33.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:46:37.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:46:40.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:46:41.393Z] 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. [2025-10-02T23:46:41.394Z] The best model improves the baseline by 14.52%. [2025-10-02T23:46:42.109Z] Top recommended movies for user id 72: [2025-10-02T23:46:42.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:46:42.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:46:42.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:46:42.109Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:46:42.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:46:42.109Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42912.829 ms) ====== [2025-10-02T23:46:42.109Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-02T23:46:42.827Z] GC before operation: completed in 374.389 ms, heap usage 250.251 MB -> 88.835 MB. [2025-10-02T23:46:48.114Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:46:54.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:47:01.236Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:47:06.489Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:47:11.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:47:15.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:47:18.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:47:22.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:47:23.430Z] 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. [2025-10-02T23:47:23.430Z] The best model improves the baseline by 14.52%. [2025-10-02T23:47:24.146Z] Top recommended movies for user id 72: [2025-10-02T23:47:24.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:47:24.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:47:24.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:47:24.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:47:24.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:47:24.146Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (41446.219 ms) ====== [2025-10-02T23:47:24.146Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-02T23:47:24.146Z] GC before operation: completed in 322.574 ms, heap usage 196.733 MB -> 88.636 MB. [2025-10-02T23:47:30.659Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:47:37.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:47:45.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:47:50.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:47:54.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:47:57.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:48:02.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:48:06.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:48:07.371Z] 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. [2025-10-02T23:48:07.371Z] The best model improves the baseline by 14.52%. [2025-10-02T23:48:07.371Z] Top recommended movies for user id 72: [2025-10-02T23:48:07.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:48:07.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:48:07.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:48:07.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:48:07.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:48:07.371Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (43289.256 ms) ====== [2025-10-02T23:48:07.371Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-02T23:48:08.083Z] GC before operation: completed in 328.409 ms, heap usage 180.119 MB -> 88.847 MB. [2025-10-02T23:48:14.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:48:21.097Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:48:27.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:48:34.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:48:37.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:48:41.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:48:45.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:48:48.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:48:49.613Z] 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. [2025-10-02T23:48:49.613Z] The best model improves the baseline by 14.52%. [2025-10-02T23:48:50.326Z] Top recommended movies for user id 72: [2025-10-02T23:48:50.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:48:50.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:48:50.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:48:50.326Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:48:50.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:48:50.326Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42325.777 ms) ====== [2025-10-02T23:48:50.326Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-02T23:48:50.326Z] GC before operation: completed in 305.656 ms, heap usage 165.253 MB -> 88.576 MB. [2025-10-02T23:48:56.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:49:03.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:49:09.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:49:16.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:49:19.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:49:22.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:49:27.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:49:30.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:49:31.011Z] 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. [2025-10-02T23:49:31.011Z] The best model improves the baseline by 14.52%. [2025-10-02T23:49:31.726Z] Top recommended movies for user id 72: [2025-10-02T23:49:31.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:49:31.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:49:31.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:49:31.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:49:31.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:49:31.726Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (40871.947 ms) ====== [2025-10-02T23:49:31.726Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-02T23:49:31.726Z] GC before operation: completed in 322.222 ms, heap usage 367.510 MB -> 88.940 MB. [2025-10-02T23:49:38.217Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:49:45.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:49:50.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:49:56.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:50:01.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:50:04.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:50:08.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:50:14.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:50:14.948Z] 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. [2025-10-02T23:50:14.948Z] The best model improves the baseline by 14.52%. [2025-10-02T23:50:14.948Z] Top recommended movies for user id 72: [2025-10-02T23:50:14.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:50:14.949Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:50:14.949Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:50:14.949Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:50:14.949Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:50:14.949Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (43461.979 ms) ====== [2025-10-02T23:50:14.949Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-02T23:50:15.689Z] GC before operation: completed in 258.876 ms, heap usage 165.994 MB -> 88.885 MB. [2025-10-02T23:50:22.185Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:50:28.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:50:35.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:50:42.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:50:46.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:50:49.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:50:53.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:50:57.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:50:57.769Z] 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. [2025-10-02T23:50:57.769Z] The best model improves the baseline by 14.52%. [2025-10-02T23:50:57.769Z] Top recommended movies for user id 72: [2025-10-02T23:50:57.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:50:57.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:50:57.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:50:57.769Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:50:57.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:50:57.769Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (42429.630 ms) ====== [2025-10-02T23:50:57.769Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-02T23:50:58.489Z] GC before operation: completed in 335.722 ms, heap usage 270.809 MB -> 88.836 MB. [2025-10-02T23:51:04.947Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:51:11.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:51:17.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:51:24.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:51:28.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:51:33.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:51:37.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:51:41.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:51:41.558Z] 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. [2025-10-02T23:51:41.558Z] The best model improves the baseline by 14.52%. [2025-10-02T23:51:42.269Z] Top recommended movies for user id 72: [2025-10-02T23:51:42.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:51:42.269Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:51:42.269Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:51:42.269Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:51:42.269Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:51:42.269Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (44010.866 ms) ====== [2025-10-02T23:51:42.269Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-02T23:51:42.269Z] GC before operation: completed in 375.518 ms, heap usage 166.362 MB -> 88.926 MB. [2025-10-02T23:51:48.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:51:56.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:52:04.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:52:11.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:52:15.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:52:20.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:52:24.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:52:28.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:52:28.496Z] 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. [2025-10-02T23:52:28.496Z] The best model improves the baseline by 14.52%. [2025-10-02T23:52:29.209Z] Top recommended movies for user id 72: [2025-10-02T23:52:29.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:52:29.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:52:29.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:52:29.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:52:29.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:52:29.209Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46549.428 ms) ====== [2025-10-02T23:52:29.209Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-02T23:52:29.209Z] GC before operation: completed in 318.667 ms, heap usage 204.268 MB -> 88.805 MB. [2025-10-02T23:52:37.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:52:42.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:52:48.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:52:56.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:52:59.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:53:03.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:53:07.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:53:10.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:53:11.169Z] 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. [2025-10-02T23:53:11.169Z] The best model improves the baseline by 14.52%. [2025-10-02T23:53:11.887Z] Top recommended movies for user id 72: [2025-10-02T23:53:11.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:53:11.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:53:11.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:53:11.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:53:11.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:53:11.887Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42153.496 ms) ====== [2025-10-02T23:53:11.887Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-02T23:53:11.887Z] GC before operation: completed in 350.700 ms, heap usage 326.444 MB -> 89.038 MB. [2025-10-02T23:53:18.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:53:24.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:53:31.337Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:53:36.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:53:40.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:53:43.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:53:48.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:53:52.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:53:53.437Z] 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. [2025-10-02T23:53:53.437Z] The best model improves the baseline by 14.52%. [2025-10-02T23:53:54.150Z] Top recommended movies for user id 72: [2025-10-02T23:53:54.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:53:54.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:53:54.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:53:54.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:53:54.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:53:54.150Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (41981.134 ms) ====== [2025-10-02T23:53:54.150Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-02T23:53:54.150Z] GC before operation: completed in 438.313 ms, heap usage 182.407 MB -> 88.711 MB. [2025-10-02T23:54:00.689Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:54:07.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:54:13.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:54:18.957Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:54:23.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:54:27.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:54:30.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:54:34.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:54:35.443Z] 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. [2025-10-02T23:54:35.443Z] The best model improves the baseline by 14.52%. [2025-10-02T23:54:35.443Z] Top recommended movies for user id 72: [2025-10-02T23:54:35.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:54:35.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:54:35.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:54:35.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:54:35.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:54:35.443Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (41322.082 ms) ====== [2025-10-02T23:54:35.443Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-02T23:54:36.165Z] GC before operation: completed in 384.486 ms, heap usage 386.491 MB -> 89.090 MB. [2025-10-02T23:54:43.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T23:54:49.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T23:54:56.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T23:55:01.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T23:55:05.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T23:55:09.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T23:55:14.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T23:55:18.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T23:55:18.964Z] 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. [2025-10-02T23:55:18.964Z] The best model improves the baseline by 14.52%. [2025-10-02T23:55:18.964Z] Top recommended movies for user id 72: [2025-10-02T23:55:18.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T23:55:18.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T23:55:18.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T23:55:18.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T23:55:18.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T23:55:18.964Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (43074.180 ms) ====== [2025-10-02T23:55:20.434Z] ----------------------------------- [2025-10-02T23:55:20.434Z] renaissance-movie-lens_0_PASSED [2025-10-02T23:55:20.434Z] ----------------------------------- [2025-10-02T23:55:20.434Z] [2025-10-02T23:55:20.434Z] TEST TEARDOWN: [2025-10-02T23:55:20.434Z] Nothing to be done for teardown. [2025-10-02T23:55:20.434Z] renaissance-movie-lens_0 Finish Time: Thu Oct 2 23:55:19 2025 Epoch Time (ms): 1759449319716