[2025-07-01T13:08:52.740Z] Running test renaissance-movie-lens_0 ... [2025-07-01T13:08:52.740Z] =============================================== [2025-07-01T13:08:52.740Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 13:08:52 2025 Epoch Time (ms): 1751375332111 [2025-07-01T13:08:52.740Z] variation: NoOptions [2025-07-01T13:08:52.740Z] JVM_OPTIONS: [2025-07-01T13:08:52.740Z] { \ [2025-07-01T13:08:52.740Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T13:08:52.740Z] echo "Nothing to be done for setup."; \ [2025-07-01T13:08:52.740Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513739089780/renaissance-movie-lens_0"; \ [2025-07-01T13:08:52.740Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513739089780/renaissance-movie-lens_0"; \ [2025-07-01T13:08:52.740Z] echo ""; echo "TESTING:"; \ [2025-07-01T13:08:52.740Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513739089780/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T13:08:52.740Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513739089780/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T13:08:52.740Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T13:08:52.740Z] echo "Nothing to be done for teardown."; \ [2025-07-01T13:08:52.740Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513739089780/TestTargetResult"; [2025-07-01T13:08:52.740Z] [2025-07-01T13:08:52.740Z] TEST SETUP: [2025-07-01T13:08:52.740Z] Nothing to be done for setup. [2025-07-01T13:08:52.740Z] [2025-07-01T13:08:52.740Z] TESTING: [2025-07-01T13:09:03.876Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T13:09:13.822Z] 13:09:12.718 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. [2025-07-01T13:09:16.833Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T13:09:17.676Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T13:09:17.676Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T13:09:17.676Z] GC before operation: completed in 246.755 ms, heap usage 293.376 MB -> 75.879 MB. [2025-07-01T13:09:31.560Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:09:41.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:09:48.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:09:58.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:10:01.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:10:08.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:10:11.319Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:10:13.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:10:14.716Z] 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. [2025-07-01T13:10:14.716Z] The best model improves the baseline by 14.52%. [2025-07-01T13:10:15.494Z] Top recommended movies for user id 72: [2025-07-01T13:10:15.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:10:15.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:10:15.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:10:15.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:10:15.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:10:15.494Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57584.057 ms) ====== [2025-07-01T13:10:15.494Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T13:10:15.494Z] GC before operation: completed in 285.091 ms, heap usage 296.531 MB -> 87.759 MB. [2025-07-01T13:10:22.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:10:28.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:10:35.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:10:41.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:10:47.697Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:10:51.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:10:58.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:11:04.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:11:05.308Z] 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. [2025-07-01T13:11:05.308Z] The best model improves the baseline by 14.52%. [2025-07-01T13:11:06.098Z] Top recommended movies for user id 72: [2025-07-01T13:11:06.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:11:06.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:11:06.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:11:06.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:11:06.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:11:06.098Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (50330.003 ms) ====== [2025-07-01T13:11:06.098Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T13:11:06.098Z] GC before operation: completed in 198.810 ms, heap usage 239.500 MB -> 88.533 MB. [2025-07-01T13:11:11.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:11:18.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:11:24.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:11:31.540Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:11:34.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:11:37.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:11:42.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:11:45.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:11:46.451Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T13:11:46.451Z] The best model improves the baseline by 14.52%. [2025-07-01T13:11:46.451Z] Top recommended movies for user id 72: [2025-07-01T13:11:46.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:11:46.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:11:46.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:11:46.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:11:46.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:11:46.451Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (40514.588 ms) ====== [2025-07-01T13:11:46.451Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T13:11:47.259Z] GC before operation: completed in 317.064 ms, heap usage 204.065 MB -> 89.221 MB. [2025-07-01T13:11:53.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:11:59.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:12:06.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:12:12.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:12:15.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:12:19.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:12:23.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:12:27.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:12:27.128Z] 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. [2025-07-01T13:12:27.128Z] The best model improves the baseline by 14.52%. [2025-07-01T13:12:27.911Z] Top recommended movies for user id 72: [2025-07-01T13:12:27.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:12:27.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:12:27.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:12:27.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:12:27.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:12:27.911Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (40996.611 ms) ====== [2025-07-01T13:12:27.911Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T13:12:27.911Z] GC before operation: completed in 351.225 ms, heap usage 752.413 MB -> 93.458 MB. [2025-07-01T13:12:34.919Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:12:40.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:12:48.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:12:53.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:12:58.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:13:02.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:13:06.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:13:10.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:13:10.851Z] 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. [2025-07-01T13:13:10.851Z] The best model improves the baseline by 14.52%. [2025-07-01T13:13:10.851Z] Top recommended movies for user id 72: [2025-07-01T13:13:10.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:13:10.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:13:10.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:13:10.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:13:10.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:13:10.851Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (43022.215 ms) ====== [2025-07-01T13:13:10.851Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T13:13:11.649Z] GC before operation: completed in 297.502 ms, heap usage 169.291 MB -> 89.482 MB. [2025-07-01T13:13:18.660Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:13:24.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:13:31.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:13:37.637Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:13:41.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:13:44.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:13:49.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:13:51.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:13:52.612Z] 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. [2025-07-01T13:13:52.612Z] The best model improves the baseline by 14.52%. [2025-07-01T13:13:53.402Z] Top recommended movies for user id 72: [2025-07-01T13:13:53.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:13:53.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:13:53.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:13:53.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:13:53.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:13:53.402Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (41523.884 ms) ====== [2025-07-01T13:13:53.402Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T13:13:53.402Z] GC before operation: completed in 221.413 ms, heap usage 229.332 MB -> 89.875 MB. [2025-07-01T13:13:57.972Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:14:03.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:14:08.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:14:12.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:14:15.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:14:18.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:14:21.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:14:24.476Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:14:25.298Z] 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. [2025-07-01T13:14:25.298Z] The best model improves the baseline by 14.52%. [2025-07-01T13:14:25.299Z] Top recommended movies for user id 72: [2025-07-01T13:14:25.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:14:25.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:14:25.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:14:25.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:14:25.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:14:25.299Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32351.710 ms) ====== [2025-07-01T13:14:25.299Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T13:14:26.097Z] GC before operation: completed in 347.453 ms, heap usage 160.135 MB -> 89.810 MB. [2025-07-01T13:14:31.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:14:39.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:14:44.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:14:50.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:14:55.319Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:14:59.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:15:03.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:15:06.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:15:07.340Z] 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. [2025-07-01T13:15:08.140Z] The best model improves the baseline by 14.52%. [2025-07-01T13:15:08.140Z] Top recommended movies for user id 72: [2025-07-01T13:15:08.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:15:08.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:15:08.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:15:08.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:15:08.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:15:08.140Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42138.871 ms) ====== [2025-07-01T13:15:08.140Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T13:15:08.140Z] GC before operation: completed in 342.064 ms, heap usage 122.990 MB -> 89.884 MB. [2025-07-01T13:15:14.019Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:15:21.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:15:28.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:15:35.331Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:15:39.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:15:44.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:15:50.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:15:55.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:15:55.603Z] 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. [2025-07-01T13:15:55.603Z] The best model improves the baseline by 14.52%. [2025-07-01T13:15:56.412Z] Top recommended movies for user id 72: [2025-07-01T13:15:56.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:15:56.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:15:56.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:15:56.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:15:56.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:15:56.412Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (47451.507 ms) ====== [2025-07-01T13:15:56.412Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T13:15:56.412Z] GC before operation: completed in 401.764 ms, heap usage 458.273 MB -> 90.197 MB. [2025-07-01T13:16:04.960Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:16:10.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:16:17.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:16:24.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:16:27.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:16:32.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:16:36.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:16:40.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:16:41.057Z] 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. [2025-07-01T13:16:41.057Z] The best model improves the baseline by 14.52%. [2025-07-01T13:16:41.057Z] Top recommended movies for user id 72: [2025-07-01T13:16:41.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:16:41.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:16:41.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:16:41.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:16:41.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:16:41.057Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45030.531 ms) ====== [2025-07-01T13:16:41.057Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T13:16:41.848Z] GC before operation: completed in 417.283 ms, heap usage 263.708 MB -> 90.205 MB. [2025-07-01T13:16:49.600Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:16:55.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:17:02.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:17:08.205Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:17:11.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:17:16.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:17:19.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:17:23.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:17:24.182Z] 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. [2025-07-01T13:17:24.182Z] The best model improves the baseline by 14.52%. [2025-07-01T13:17:24.955Z] Top recommended movies for user id 72: [2025-07-01T13:17:24.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:17:24.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:17:24.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:17:24.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:17:24.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:17:24.955Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42844.723 ms) ====== [2025-07-01T13:17:24.955Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T13:17:24.955Z] GC before operation: completed in 328.269 ms, heap usage 518.730 MB -> 90.237 MB. [2025-07-01T13:17:31.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:17:39.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:17:44.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:17:52.023Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:17:55.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:17:58.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:18:03.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:18:06.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:18:07.731Z] 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. [2025-07-01T13:18:07.731Z] The best model improves the baseline by 14.52%. [2025-07-01T13:18:07.731Z] Top recommended movies for user id 72: [2025-07-01T13:18:07.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:18:07.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:18:07.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:18:07.731Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:18:07.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:18:07.731Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (43012.621 ms) ====== [2025-07-01T13:18:07.731Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T13:18:08.513Z] GC before operation: completed in 329.000 ms, heap usage 367.407 MB -> 90.344 MB. [2025-07-01T13:18:15.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:18:22.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:18:28.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:18:35.474Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:18:38.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:18:43.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:18:46.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:18:51.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:18:52.267Z] 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. [2025-07-01T13:18:52.267Z] The best model improves the baseline by 14.52%. [2025-07-01T13:18:52.267Z] Top recommended movies for user id 72: [2025-07-01T13:18:52.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:18:52.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:18:52.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:18:52.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:18:52.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:18:52.267Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44025.401 ms) ====== [2025-07-01T13:18:52.267Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T13:18:53.042Z] GC before operation: completed in 379.780 ms, heap usage 368.180 MB -> 90.429 MB. [2025-07-01T13:18:59.921Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:19:06.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:19:14.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:19:19.943Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:19:23.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:19:27.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:19:31.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:19:35.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:19:35.142Z] 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. [2025-07-01T13:19:35.142Z] The best model improves the baseline by 14.52%. [2025-07-01T13:19:35.952Z] Top recommended movies for user id 72: [2025-07-01T13:19:35.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:19:35.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:19:35.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:19:35.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:19:35.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:19:35.952Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (43183.669 ms) ====== [2025-07-01T13:19:35.952Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T13:19:35.952Z] GC before operation: completed in 388.192 ms, heap usage 375.700 MB -> 90.256 MB. [2025-07-01T13:19:43.008Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:19:50.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:19:58.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:20:04.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:20:09.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:20:13.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:20:17.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:20:21.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:20:22.224Z] 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. [2025-07-01T13:20:22.224Z] The best model improves the baseline by 14.52%. [2025-07-01T13:20:23.022Z] Top recommended movies for user id 72: [2025-07-01T13:20:23.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:20:23.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:20:23.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:20:23.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:20:23.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:20:23.022Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46665.558 ms) ====== [2025-07-01T13:20:23.022Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T13:20:23.022Z] GC before operation: completed in 439.871 ms, heap usage 233.944 MB -> 90.264 MB. [2025-07-01T13:20:31.524Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:20:38.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:20:45.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:20:52.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:20:57.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:21:02.077Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:21:07.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:21:12.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:21:12.505Z] 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. [2025-07-01T13:21:12.506Z] The best model improves the baseline by 14.52%. [2025-07-01T13:21:13.399Z] Top recommended movies for user id 72: [2025-07-01T13:21:13.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:21:13.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:21:13.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:21:13.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:21:13.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:21:13.399Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49811.455 ms) ====== [2025-07-01T13:21:13.399Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T13:21:13.399Z] GC before operation: completed in 351.624 ms, heap usage 522.797 MB -> 90.547 MB. [2025-07-01T13:21:21.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:21:28.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:21:35.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:21:42.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:21:47.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:21:51.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:21:56.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:22:01.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:22:03.033Z] 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. [2025-07-01T13:22:03.033Z] The best model improves the baseline by 14.52%. [2025-07-01T13:22:03.033Z] Top recommended movies for user id 72: [2025-07-01T13:22:03.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:22:03.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:22:03.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:22:03.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:22:03.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:22:03.033Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49607.298 ms) ====== [2025-07-01T13:22:03.033Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T13:22:03.834Z] GC before operation: completed in 438.215 ms, heap usage 155.172 MB -> 90.079 MB. [2025-07-01T13:22:10.918Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:22:19.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:22:26.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:22:33.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:22:39.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:22:43.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:22:48.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:22:53.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:22:53.501Z] 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. [2025-07-01T13:22:54.288Z] The best model improves the baseline by 14.52%. [2025-07-01T13:22:54.288Z] Top recommended movies for user id 72: [2025-07-01T13:22:54.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:22:54.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:22:54.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:22:54.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:22:54.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:22:54.288Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50868.637 ms) ====== [2025-07-01T13:22:54.288Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T13:22:55.071Z] GC before operation: completed in 415.546 ms, heap usage 451.705 MB -> 90.356 MB. [2025-07-01T13:23:02.065Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:23:09.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:23:16.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:23:21.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:23:25.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:23:30.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:23:35.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:23:38.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:23:39.485Z] 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. [2025-07-01T13:23:39.485Z] The best model improves the baseline by 14.52%. [2025-07-01T13:23:39.485Z] Top recommended movies for user id 72: [2025-07-01T13:23:39.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:23:39.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:23:39.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:23:39.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:23:39.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:23:39.485Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44931.822 ms) ====== [2025-07-01T13:23:39.485Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T13:23:40.297Z] GC before operation: completed in 372.481 ms, heap usage 273.056 MB -> 90.321 MB. [2025-07-01T13:23:47.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:23:54.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:24:00.240Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:24:07.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:24:10.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:24:14.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:24:19.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:24:23.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:24:24.732Z] 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. [2025-07-01T13:24:24.732Z] The best model improves the baseline by 14.52%. [2025-07-01T13:24:24.732Z] Top recommended movies for user id 72: [2025-07-01T13:24:24.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:24:24.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:24:24.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:24:24.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:24:24.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:24:24.732Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (44803.348 ms) ====== [2025-07-01T13:24:26.384Z] ----------------------------------- [2025-07-01T13:24:26.384Z] renaissance-movie-lens_0_PASSED [2025-07-01T13:24:26.384Z] ----------------------------------- [2025-07-01T13:24:26.384Z] [2025-07-01T13:24:26.384Z] TEST TEARDOWN: [2025-07-01T13:24:26.384Z] Nothing to be done for teardown. [2025-07-01T13:24:26.384Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 13:24:25 2025 Epoch Time (ms): 1751376265786