[2025-05-07T11:54:28.763Z] Running test renaissance-movie-lens_0 ... [2025-05-07T11:54:28.763Z] =============================================== [2025-05-07T11:54:28.763Z] renaissance-movie-lens_0 Start Time: Wed May 7 11:54:28 2025 Epoch Time (ms): 1746618868673 [2025-05-07T11:54:29.711Z] variation: NoOptions [2025-05-07T11:54:29.711Z] JVM_OPTIONS: [2025-05-07T11:54:29.711Z] { \ [2025-05-07T11:54:29.711Z] echo ""; echo "TEST SETUP:"; \ [2025-05-07T11:54:29.711Z] echo "Nothing to be done for setup."; \ [2025-05-07T11:54:29.711Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17466172034810/renaissance-movie-lens_0"; \ [2025-05-07T11:54:29.711Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17466172034810/renaissance-movie-lens_0"; \ [2025-05-07T11:54:29.711Z] echo ""; echo "TESTING:"; \ [2025-05-07T11:54:29.712Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_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_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17466172034810/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-07T11:54:29.712Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17466172034810/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-07T11:54:29.712Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-07T11:54:29.712Z] echo "Nothing to be done for teardown."; \ [2025-05-07T11:54:29.712Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17466172034810/TestTargetResult"; [2025-05-07T11:54:29.712Z] [2025-05-07T11:54:29.712Z] TEST SETUP: [2025-05-07T11:54:29.712Z] Nothing to be done for setup. [2025-05-07T11:54:29.712Z] [2025-05-07T11:54:29.712Z] TESTING: [2025-05-07T11:54:35.067Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-07T11:54:43.185Z] 11:54:42.795 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-05-07T11:54:46.193Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-07T11:54:46.193Z] Training: 60056, validation: 20285, test: 19854 [2025-05-07T11:54:46.193Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-07T11:54:46.193Z] GC before operation: completed in 165.608 ms, heap usage 182.643 MB -> 74.370 MB. [2025-05-07T11:54:52.926Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:54:57.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:55:01.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:55:04.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:55:07.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:55:09.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:55:11.166Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:55:13.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:55:13.115Z] 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. [2025-05-07T11:55:13.115Z] The best model improves the baseline by 14.52%. [2025-05-07T11:55:14.066Z] Top recommended movies for user id 72: [2025-05-07T11:55:14.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:55:14.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:55:14.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:55:14.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:55:14.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:55:14.066Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27184.579 ms) ====== [2025-05-07T11:55:14.066Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-07T11:55:14.066Z] GC before operation: completed in 202.656 ms, heap usage 389.483 MB -> 85.653 MB. [2025-05-07T11:55:17.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:55:21.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:55:24.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:55:27.293Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:55:29.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:55:31.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:55:33.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:55:35.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:55:36.064Z] 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. [2025-05-07T11:55:36.064Z] The best model improves the baseline by 14.52%. [2025-05-07T11:55:36.064Z] Top recommended movies for user id 72: [2025-05-07T11:55:36.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:55:36.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:55:36.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:55:36.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:55:36.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:55:36.064Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22278.212 ms) ====== [2025-05-07T11:55:36.064Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-07T11:55:36.064Z] GC before operation: completed in 197.381 ms, heap usage 274.166 MB -> 87.564 MB. [2025-05-07T11:55:39.074Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:55:43.218Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:55:46.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:55:49.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:55:50.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:55:52.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:55:54.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:55:56.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:55:57.176Z] 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. [2025-05-07T11:55:57.176Z] The best model improves the baseline by 14.52%. [2025-05-07T11:55:57.176Z] Top recommended movies for user id 72: [2025-05-07T11:55:57.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:55:57.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:55:57.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:55:57.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:55:57.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:55:57.176Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20815.163 ms) ====== [2025-05-07T11:55:57.176Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-07T11:55:57.176Z] GC before operation: completed in 192.357 ms, heap usage 452.314 MB -> 88.433 MB. [2025-05-07T11:56:00.188Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:56:03.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:56:07.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:56:10.356Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:56:12.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:56:14.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:56:16.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:56:18.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:56:18.154Z] 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. [2025-05-07T11:56:18.154Z] The best model improves the baseline by 14.52%. [2025-05-07T11:56:18.154Z] Top recommended movies for user id 72: [2025-05-07T11:56:18.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:56:18.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:56:18.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:56:18.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:56:18.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:56:18.154Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21192.156 ms) ====== [2025-05-07T11:56:18.154Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-07T11:56:19.110Z] GC before operation: completed in 206.533 ms, heap usage 383.310 MB -> 88.622 MB. [2025-05-07T11:56:22.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:56:25.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:56:28.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:56:31.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:56:33.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:56:35.065Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:56:37.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:56:38.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:56:40.805Z] 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. [2025-05-07T11:56:40.805Z] The best model improves the baseline by 14.52%. [2025-05-07T11:56:40.805Z] Top recommended movies for user id 72: [2025-05-07T11:56:40.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:56:40.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:56:40.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:56:40.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:56:40.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:56:40.805Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21081.200 ms) ====== [2025-05-07T11:56:40.805Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-07T11:56:40.805Z] GC before operation: completed in 191.983 ms, heap usage 475.878 MB -> 88.660 MB. [2025-05-07T11:56:42.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:56:46.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:56:49.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:56:52.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:56:54.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:56:56.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:56:58.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:57:00.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:57:00.086Z] 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. [2025-05-07T11:57:00.086Z] The best model improves the baseline by 14.52%. [2025-05-07T11:57:00.086Z] Top recommended movies for user id 72: [2025-05-07T11:57:00.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:57:00.086Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:57:00.086Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:57:00.086Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:57:00.086Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:57:00.086Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20422.403 ms) ====== [2025-05-07T11:57:00.086Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-07T11:57:01.041Z] GC before operation: completed in 230.176 ms, heap usage 431.523 MB -> 88.896 MB. [2025-05-07T11:57:04.059Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:57:07.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:57:10.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:57:13.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:57:15.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:57:17.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:57:18.956Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:57:20.905Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:57:20.905Z] 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. [2025-05-07T11:57:20.905Z] The best model improves the baseline by 14.52%. [2025-05-07T11:57:20.905Z] Top recommended movies for user id 72: [2025-05-07T11:57:20.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:57:20.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:57:20.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:57:20.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:57:20.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:57:20.905Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20489.329 ms) ====== [2025-05-07T11:57:20.905Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-07T11:57:20.905Z] GC before operation: completed in 183.265 ms, heap usage 400.373 MB -> 88.842 MB. [2025-05-07T11:57:23.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:57:26.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:57:31.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:57:33.027Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:57:34.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:57:36.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:57:38.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:57:40.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:57:41.776Z] 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. [2025-05-07T11:57:41.776Z] The best model improves the baseline by 14.52%. [2025-05-07T11:57:41.776Z] Top recommended movies for user id 72: [2025-05-07T11:57:41.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:57:41.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:57:41.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:57:41.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:57:41.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:57:41.776Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20337.344 ms) ====== [2025-05-07T11:57:41.776Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-07T11:57:41.776Z] GC before operation: completed in 177.321 ms, heap usage 215.467 MB -> 88.813 MB. [2025-05-07T11:57:44.782Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:57:47.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:57:50.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:57:53.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:57:55.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:57:56.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:57:58.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:58:00.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:58:01.555Z] 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. [2025-05-07T11:58:01.555Z] The best model improves the baseline by 14.52%. [2025-05-07T11:58:01.555Z] Top recommended movies for user id 72: [2025-05-07T11:58:01.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:58:01.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:58:01.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:58:01.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:58:01.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:58:01.555Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19747.171 ms) ====== [2025-05-07T11:58:01.555Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-07T11:58:01.555Z] GC before operation: completed in 192.817 ms, heap usage 424.705 MB -> 88.918 MB. [2025-05-07T11:58:04.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:58:07.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:58:10.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:58:13.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:58:15.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:58:16.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:58:18.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:58:20.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:58:21.473Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-07T11:58:21.473Z] The best model improves the baseline by 14.52%. [2025-05-07T11:58:21.473Z] Top recommended movies for user id 72: [2025-05-07T11:58:21.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:58:21.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:58:21.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:58:21.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:58:21.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:58:21.473Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19556.836 ms) ====== [2025-05-07T11:58:21.473Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-07T11:58:21.473Z] GC before operation: completed in 181.881 ms, heap usage 128.344 MB -> 88.771 MB. [2025-05-07T11:58:24.518Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:58:27.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:58:30.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:58:33.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:58:35.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:58:37.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:58:39.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:58:41.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:58:41.353Z] 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. [2025-05-07T11:58:41.353Z] The best model improves the baseline by 14.52%. [2025-05-07T11:58:41.353Z] Top recommended movies for user id 72: [2025-05-07T11:58:41.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:58:41.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:58:41.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:58:41.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:58:41.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:58:41.353Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20230.529 ms) ====== [2025-05-07T11:58:41.353Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-07T11:58:42.302Z] GC before operation: completed in 181.702 ms, heap usage 417.248 MB -> 88.845 MB. [2025-05-07T11:58:45.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:58:48.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:58:51.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:58:54.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:58:55.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:58:57.342Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:58:59.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:01.245Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:02.194Z] 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. [2025-05-07T11:59:02.194Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:02.194Z] Top recommended movies for user id 72: [2025-05-07T11:59:02.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:59:02.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:59:02.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:59:02.194Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:59:02.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:59:02.194Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20203.180 ms) ====== [2025-05-07T11:59:02.194Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-07T11:59:02.194Z] GC before operation: completed in 195.490 ms, heap usage 314.959 MB -> 88.971 MB. [2025-05-07T11:59:05.212Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:08.223Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:11.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:14.056Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:16.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:16.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:18.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:20.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:20.863Z] 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. [2025-05-07T11:59:20.863Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:20.863Z] Top recommended movies for user id 72: [2025-05-07T11:59:20.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:59:20.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:59:20.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:59:20.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:59:20.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:59:20.863Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18990.993 ms) ====== [2025-05-07T11:59:20.863Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-07T11:59:21.812Z] GC before operation: completed in 194.120 ms, heap usage 316.643 MB -> 89.064 MB. [2025-05-07T11:59:24.831Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:27.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:30.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:33.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:35.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:36.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:38.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:40.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:40.690Z] 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. [2025-05-07T11:59:40.690Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:41.652Z] Top recommended movies for user id 72: [2025-05-07T11:59:41.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:59:41.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:59:41.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:59:41.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:59:41.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:59:41.652Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19719.406 ms) ====== [2025-05-07T11:59:41.652Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-07T11:59:41.652Z] GC before operation: completed in 168.756 ms, heap usage 386.911 MB -> 88.980 MB. [2025-05-07T11:59:44.663Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:46.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:49.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:52.629Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:54.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:55.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:57.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:59.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:59.424Z] 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. [2025-05-07T11:59:59.425Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:59.425Z] Top recommended movies for user id 72: [2025-05-07T11:59:59.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T11:59:59.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T11:59:59.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T11:59:59.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T11:59:59.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T11:59:59.425Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18418.020 ms) ====== [2025-05-07T11:59:59.425Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-07T12:00:00.375Z] GC before operation: completed in 176.722 ms, heap usage 460.087 MB -> 89.295 MB. [2025-05-07T12:00:02.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:06.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:09.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:11.460Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:13.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:15.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:17.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:19.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:19.284Z] 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. [2025-05-07T12:00:19.284Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:19.284Z] Top recommended movies for user id 72: [2025-05-07T12:00:19.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T12:00:19.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T12:00:19.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T12:00:19.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T12:00:19.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T12:00:19.284Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19560.752 ms) ====== [2025-05-07T12:00:19.284Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-07T12:00:19.284Z] GC before operation: completed in 168.055 ms, heap usage 414.849 MB -> 89.042 MB. [2025-05-07T12:00:22.299Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:25.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:28.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:31.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:33.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:35.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:37.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:39.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:39.156Z] 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. [2025-05-07T12:00:39.156Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:39.156Z] Top recommended movies for user id 72: [2025-05-07T12:00:39.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T12:00:39.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T12:00:39.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T12:00:39.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T12:00:39.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T12:00:39.156Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19773.712 ms) ====== [2025-05-07T12:00:39.156Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-07T12:00:40.109Z] GC before operation: completed in 201.770 ms, heap usage 430.075 MB -> 89.131 MB. [2025-05-07T12:00:42.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:45.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:48.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:51.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:53.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:55.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:57.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:59.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:59.074Z] 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. [2025-05-07T12:00:59.074Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:59.074Z] Top recommended movies for user id 72: [2025-05-07T12:00:59.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T12:00:59.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T12:00:59.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T12:00:59.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T12:00:59.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T12:00:59.074Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19729.551 ms) ====== [2025-05-07T12:00:59.074Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-07T12:01:00.025Z] GC before operation: completed in 196.760 ms, heap usage 283.531 MB -> 88.829 MB. [2025-05-07T12:01:03.038Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:01:06.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:01:09.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:01:12.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:01:14.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:01:15.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:17.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:19.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:19.899Z] 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. [2025-05-07T12:01:19.899Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:19.899Z] Top recommended movies for user id 72: [2025-05-07T12:01:19.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T12:01:19.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T12:01:19.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T12:01:19.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T12:01:19.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T12:01:19.899Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20397.856 ms) ====== [2025-05-07T12:01:19.899Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-07T12:01:19.899Z] GC before operation: completed in 198.157 ms, heap usage 454.247 MB -> 89.174 MB. [2025-05-07T12:01:22.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:01:25.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:01:30.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:01:32.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:01:33.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:01:35.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:37.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:39.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:39.800Z] 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. [2025-05-07T12:01:39.800Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:40.751Z] Top recommended movies for user id 72: [2025-05-07T12:01:40.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-07T12:01:40.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-07T12:01:40.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-07T12:01:40.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-07T12:01:40.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-07T12:01:40.751Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20167.853 ms) ====== [2025-05-07T12:01:40.751Z] ----------------------------------- [2025-05-07T12:01:40.751Z] renaissance-movie-lens_0_PASSED [2025-05-07T12:01:40.751Z] ----------------------------------- [2025-05-07T12:01:40.751Z] [2025-05-07T12:01:40.751Z] TEST TEARDOWN: [2025-05-07T12:01:40.751Z] Nothing to be done for teardown. [2025-05-07T12:01:40.751Z] renaissance-movie-lens_0 Finish Time: Wed May 7 12:01:40 2025 Epoch Time (ms): 1746619300484