[2025-05-22T22:33:54.539Z] Running test renaissance-movie-lens_0 ... [2025-05-22T22:33:54.539Z] =============================================== [2025-05-22T22:33:54.540Z] renaissance-movie-lens_0 Start Time: Thu May 22 22:33:52 2025 Epoch Time (ms): 1747953232949 [2025-05-22T22:33:54.540Z] variation: NoOptions [2025-05-22T22:33:54.540Z] JVM_OPTIONS: [2025-05-22T22:33:54.540Z] { \ [2025-05-22T22:33:54.540Z] echo ""; echo "TEST SETUP:"; \ [2025-05-22T22:33:54.540Z] echo "Nothing to be done for setup."; \ [2025-05-22T22:33:54.540Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17479500784375/renaissance-movie-lens_0"; \ [2025-05-22T22:33:54.540Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17479500784375/renaissance-movie-lens_0"; \ [2025-05-22T22:33:54.540Z] echo ""; echo "TESTING:"; \ [2025-05-22T22:33:54.540Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/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_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17479500784375/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-22T22:33:54.540Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17479500784375/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-22T22:33:54.540Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-22T22:33:54.540Z] echo "Nothing to be done for teardown."; \ [2025-05-22T22:33:54.540Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17479500784375/TestTargetResult"; [2025-05-22T22:33:54.540Z] [2025-05-22T22:33:54.540Z] TEST SETUP: [2025-05-22T22:33:54.540Z] Nothing to be done for setup. [2025-05-22T22:33:54.540Z] [2025-05-22T22:33:54.540Z] TESTING: [2025-05-22T22:33:54.540Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-05-22T22:33:54.540Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17479500784375/renaissance-movie-lens_0/launcher-223353-12748042639121213317/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-05-22T22:33:54.540Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-05-22T22:33:54.540Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-05-22T22:34:16.535Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-22T22:34:46.850Z] 22:34:45.989 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-05-22T22:34:54.301Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-22T22:34:55.915Z] Training: 60056, validation: 20285, test: 19854 [2025-05-22T22:34:55.915Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-22T22:34:56.728Z] GC before operation: completed in 558.390 ms, heap usage 323.840 MB -> 75.701 MB. [2025-05-22T22:35:32.517Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:35:54.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:36:14.045Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:36:28.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:36:38.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:36:48.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:36:59.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:37:08.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:37:08.882Z] 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. [2025-05-22T22:37:09.662Z] The best model improves the baseline by 14.52%. [2025-05-22T22:37:10.486Z] Top recommended movies for user id 72: [2025-05-22T22:37:10.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:37:10.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:37:10.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:37:10.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:37:10.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:37:10.486Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (134317.234 ms) ====== [2025-05-22T22:37:10.486Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-22T22:37:11.302Z] GC before operation: completed in 591.781 ms, heap usage 105.145 MB -> 87.353 MB. [2025-05-22T22:37:27.609Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:37:43.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:37:57.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:38:14.242Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:38:28.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:38:35.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:38:47.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:38:56.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:38:58.857Z] 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. [2025-05-22T22:38:59.813Z] The best model improves the baseline by 14.52%. [2025-05-22T22:39:00.631Z] Top recommended movies for user id 72: [2025-05-22T22:39:00.631Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:39:00.631Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:39:00.631Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:39:00.631Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:39:00.631Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:39:00.631Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (109408.653 ms) ====== [2025-05-22T22:39:00.631Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-22T22:39:01.448Z] GC before operation: completed in 847.067 ms, heap usage 441.745 MB -> 88.676 MB. [2025-05-22T22:39:20.753Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:39:38.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:40:02.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:40:16.134Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:40:26.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:40:36.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:40:46.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:40:57.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:40:57.273Z] 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. [2025-05-22T22:40:58.065Z] The best model improves the baseline by 14.52%. [2025-05-22T22:40:58.860Z] Top recommended movies for user id 72: [2025-05-22T22:40:58.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:40:58.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:40:58.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:40:58.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:40:58.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:40:58.860Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (116901.230 ms) ====== [2025-05-22T22:40:58.860Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-22T22:40:59.652Z] GC before operation: completed in 896.476 ms, heap usage 253.643 MB -> 88.928 MB. [2025-05-22T22:41:21.910Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:41:35.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:41:50.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:42:01.909Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:42:10.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:42:20.434Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:42:29.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:42:37.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:42:38.737Z] 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. [2025-05-22T22:42:38.737Z] The best model improves the baseline by 14.52%. [2025-05-22T22:42:39.538Z] Top recommended movies for user id 72: [2025-05-22T22:42:39.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:42:39.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:42:39.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:42:39.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:42:39.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:42:39.538Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (99932.147 ms) ====== [2025-05-22T22:42:39.538Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-22T22:42:40.328Z] GC before operation: completed in 663.967 ms, heap usage 489.661 MB -> 89.550 MB. [2025-05-22T22:42:50.403Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:43:00.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:43:14.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:43:27.876Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:43:36.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:43:43.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:43:55.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:44:02.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:44:03.797Z] 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. [2025-05-22T22:44:04.565Z] The best model improves the baseline by 14.52%. [2025-05-22T22:44:04.565Z] Top recommended movies for user id 72: [2025-05-22T22:44:04.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:44:04.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:44:04.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:44:04.565Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:44:04.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:44:04.565Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (84883.577 ms) ====== [2025-05-22T22:44:04.565Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-22T22:44:05.346Z] GC before operation: completed in 866.205 ms, heap usage 290.830 MB -> 89.261 MB. [2025-05-22T22:44:19.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:44:31.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:44:41.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:44:51.128Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:44:58.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:45:05.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:45:13.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:45:21.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:45:23.248Z] 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. [2025-05-22T22:45:23.248Z] The best model improves the baseline by 14.52%. [2025-05-22T22:45:24.009Z] Top recommended movies for user id 72: [2025-05-22T22:45:24.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:45:24.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:45:24.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:45:24.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:45:24.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:45:24.009Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (78482.345 ms) ====== [2025-05-22T22:45:24.009Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-22T22:45:24.767Z] GC before operation: completed in 741.450 ms, heap usage 127.612 MB -> 89.377 MB. [2025-05-22T22:45:38.477Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:45:50.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:46:03.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:46:13.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:46:20.852Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:46:27.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:46:34.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:46:41.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:46:43.401Z] 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. [2025-05-22T22:46:43.401Z] The best model improves the baseline by 14.52%. [2025-05-22T22:46:44.186Z] Top recommended movies for user id 72: [2025-05-22T22:46:44.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:46:44.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:46:44.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:46:44.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:46:44.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:46:44.186Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (79282.572 ms) ====== [2025-05-22T22:46:44.186Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-22T22:46:44.983Z] GC before operation: completed in 889.936 ms, heap usage 225.475 MB -> 89.430 MB. [2025-05-22T22:46:56.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:47:08.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:47:19.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:47:29.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:47:36.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:47:43.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:47:50.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:47:58.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:47:59.150Z] 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. [2025-05-22T22:47:59.150Z] The best model improves the baseline by 14.52%. [2025-05-22T22:47:59.934Z] Top recommended movies for user id 72: [2025-05-22T22:47:59.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:47:59.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:47:59.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:47:59.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:47:59.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:47:59.934Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (74624.369 ms) ====== [2025-05-22T22:47:59.934Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-22T22:48:00.812Z] GC before operation: completed in 823.447 ms, heap usage 488.465 MB -> 89.981 MB. [2025-05-22T22:48:14.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:48:25.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:48:36.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:48:47.019Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:48:54.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:49:02.579Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:49:08.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:49:14.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:49:15.668Z] 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. [2025-05-22T22:49:15.668Z] The best model improves the baseline by 14.52%. [2025-05-22T22:49:16.444Z] Top recommended movies for user id 72: [2025-05-22T22:49:16.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:49:16.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:49:16.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:49:16.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:49:16.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:49:16.445Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (75798.787 ms) ====== [2025-05-22T22:49:16.445Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-22T22:49:17.226Z] GC before operation: completed in 665.300 ms, heap usage 283.313 MB -> 89.619 MB. [2025-05-22T22:49:27.218Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:49:41.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:49:54.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:50:03.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:50:09.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:50:15.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:50:20.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:50:27.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:50:28.552Z] 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. [2025-05-22T22:50:28.552Z] The best model improves the baseline by 14.52%. [2025-05-22T22:50:29.327Z] Top recommended movies for user id 72: [2025-05-22T22:50:29.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:50:29.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:50:29.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:50:29.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:50:29.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:50:29.327Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (72159.378 ms) ====== [2025-05-22T22:50:29.327Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-22T22:50:30.135Z] GC before operation: completed in 569.982 ms, heap usage 204.131 MB -> 89.763 MB. [2025-05-22T22:50:43.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:50:55.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:51:05.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:51:14.041Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:51:18.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:51:24.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:51:28.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:51:34.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:51:35.373Z] 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. [2025-05-22T22:51:35.374Z] The best model improves the baseline by 14.52%. [2025-05-22T22:51:36.166Z] Top recommended movies for user id 72: [2025-05-22T22:51:36.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:51:36.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:51:36.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:51:36.166Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:51:36.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:51:36.166Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (66285.126 ms) ====== [2025-05-22T22:51:36.166Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-22T22:51:36.942Z] GC before operation: completed in 661.846 ms, heap usage 768.977 MB -> 93.530 MB. [2025-05-22T22:51:48.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:51:59.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:52:09.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:52:20.939Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:52:26.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:52:33.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:52:39.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:52:44.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:52:46.235Z] 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. [2025-05-22T22:52:46.235Z] The best model improves the baseline by 14.52%. [2025-05-22T22:52:46.996Z] Top recommended movies for user id 72: [2025-05-22T22:52:46.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:52:46.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:52:46.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:52:46.996Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:52:46.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:52:46.996Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (70430.652 ms) ====== [2025-05-22T22:52:46.996Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-22T22:52:47.778Z] GC before operation: completed in 834.909 ms, heap usage 515.938 MB -> 90.110 MB. [2025-05-22T22:52:59.574Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:53:09.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:53:19.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:53:29.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:53:36.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:53:43.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:53:52.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:54:01.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:54:03.433Z] 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. [2025-05-22T22:54:03.433Z] The best model improves the baseline by 14.52%. [2025-05-22T22:54:04.208Z] Top recommended movies for user id 72: [2025-05-22T22:54:04.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:54:04.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:54:04.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:54:04.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:54:04.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:54:04.208Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (76390.116 ms) ====== [2025-05-22T22:54:04.208Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-22T22:54:04.978Z] GC before operation: completed in 765.385 ms, heap usage 292.428 MB -> 89.948 MB. [2025-05-22T22:54:17.066Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:54:33.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:54:52.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:55:02.236Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:55:10.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:55:17.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:55:24.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:55:31.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:55:33.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-22T22:55:33.188Z] The best model improves the baseline by 14.52%. [2025-05-22T22:55:33.955Z] Top recommended movies for user id 72: [2025-05-22T22:55:33.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:55:33.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:55:33.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:55:33.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:55:33.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:55:33.955Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (88817.998 ms) ====== [2025-05-22T22:55:33.955Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-22T22:55:34.737Z] GC before operation: completed in 642.762 ms, heap usage 180.273 MB -> 89.760 MB. [2025-05-22T22:55:48.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:56:00.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:56:14.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:56:24.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:56:33.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:56:40.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:56:47.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:56:54.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:56:55.360Z] 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. [2025-05-22T22:56:56.132Z] The best model improves the baseline by 14.52%. [2025-05-22T22:56:56.906Z] Top recommended movies for user id 72: [2025-05-22T22:56:56.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:56:56.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:56:56.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:56:56.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:56:56.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:56:56.907Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (81959.471 ms) ====== [2025-05-22T22:56:56.907Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-22T22:56:57.668Z] GC before operation: completed in 853.615 ms, heap usage 286.552 MB -> 90.019 MB. [2025-05-22T22:57:09.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:57:21.142Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:57:32.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:57:44.607Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:57:51.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:57:58.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:58:09.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:58:17.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:58:18.364Z] 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. [2025-05-22T22:58:19.133Z] The best model improves the baseline by 14.52%. [2025-05-22T22:58:19.134Z] Top recommended movies for user id 72: [2025-05-22T22:58:19.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:58:19.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:58:19.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:58:19.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:58:19.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:58:19.134Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (82047.341 ms) ====== [2025-05-22T22:58:19.134Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-22T22:58:19.913Z] GC before operation: completed in 680.145 ms, heap usage 317.748 MB -> 88.703 MB. [2025-05-22T22:58:31.730Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:58:43.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:58:57.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:59:08.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:59:13.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:59:20.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:59:27.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:59:33.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:59:34.737Z] 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. [2025-05-22T22:59:34.737Z] The best model improves the baseline by 14.52%. [2025-05-22T22:59:35.513Z] Top recommended movies for user id 72: [2025-05-22T22:59:35.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T22:59:35.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T22:59:35.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T22:59:35.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T22:59:35.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T22:59:35.513Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (75223.063 ms) ====== [2025-05-22T22:59:35.513Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-22T22:59:36.287Z] GC before operation: completed in 857.536 ms, heap usage 817.215 MB -> 90.773 MB. [2025-05-22T22:59:50.166Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T23:00:04.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T23:00:16.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T23:00:27.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T23:00:34.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T23:00:41.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T23:00:50.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T23:00:57.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T23:00:58.697Z] 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. [2025-05-22T23:00:58.697Z] The best model improves the baseline by 14.52%. [2025-05-22T23:00:58.697Z] Top recommended movies for user id 72: [2025-05-22T23:00:58.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T23:00:58.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T23:00:58.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T23:00:58.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T23:00:58.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T23:00:58.697Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (82846.924 ms) ====== [2025-05-22T23:00:58.697Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-22T23:00:59.489Z] GC before operation: completed in 773.184 ms, heap usage 478.723 MB -> 86.747 MB. [2025-05-22T23:01:13.502Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T23:01:25.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T23:01:39.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T23:01:50.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T23:01:57.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T23:02:03.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T23:02:13.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T23:02:21.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T23:02:22.561Z] 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. [2025-05-22T23:02:22.561Z] The best model improves the baseline by 14.52%. [2025-05-22T23:02:24.723Z] Top recommended movies for user id 72: [2025-05-22T23:02:24.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T23:02:24.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T23:02:24.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T23:02:24.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T23:02:24.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T23:02:24.723Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (83887.299 ms) ====== [2025-05-22T23:02:24.723Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-22T23:02:24.723Z] GC before operation: completed in 815.134 ms, heap usage 365.790 MB -> 86.292 MB. [2025-05-22T23:02:38.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T23:02:50.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T23:03:00.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T23:03:10.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T23:03:17.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T23:03:24.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T23:03:32.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T23:03:40.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T23:03:42.087Z] 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. [2025-05-22T23:03:42.087Z] The best model improves the baseline by 14.52%. [2025-05-22T23:03:42.858Z] Top recommended movies for user id 72: [2025-05-22T23:03:42.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-22T23:03:42.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-22T23:03:42.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-22T23:03:42.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-22T23:03:42.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-22T23:03:42.858Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (78483.031 ms) ====== [2025-05-22T23:03:45.339Z] ----------------------------------- [2025-05-22T23:03:45.340Z] renaissance-movie-lens_0_PASSED [2025-05-22T23:03:45.340Z] ----------------------------------- [2025-05-22T23:03:45.340Z] [2025-05-22T23:03:45.340Z] TEST TEARDOWN: [2025-05-22T23:03:45.340Z] Nothing to be done for teardown. [2025-05-22T23:03:45.340Z] renaissance-movie-lens_0 Finish Time: Thu May 22 23:03:45 2025 Epoch Time (ms): 1747955025040