renaissance-movie-lens_0
[2025-08-25T22:39:11.669Z] Running test renaissance-movie-lens_0 ...
[2025-08-25T22:39:11.669Z] ===============================================
[2025-08-25T22:39:11.669Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 22:39:10 2025 Epoch Time (ms): 1756161550710
[2025-08-25T22:39:11.669Z] variation: NoOptions
[2025-08-25T22:39:11.669Z] JVM_OPTIONS:
[2025-08-25T22:39:11.669Z] { \
[2025-08-25T22:39:11.669Z] echo ""; echo "TEST SETUP:"; \
[2025-08-25T22:39:11.669Z] echo "Nothing to be done for setup."; \
[2025-08-25T22:39:11.669Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17561604265130/renaissance-movie-lens_0"; \
[2025-08-25T22:39:11.669Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17561604265130/renaissance-movie-lens_0"; \
[2025-08-25T22:39:11.669Z] echo ""; echo "TESTING:"; \
[2025-08-25T22:39:11.669Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17561604265130/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-25T22:39:11.669Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17561604265130/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-25T22:39:11.669Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-25T22:39:11.669Z] echo "Nothing to be done for teardown."; \
[2025-08-25T22:39:11.669Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17561604265130/TestTargetResult";
[2025-08-25T22:39:11.669Z]
[2025-08-25T22:39:11.669Z] TEST SETUP:
[2025-08-25T22:39:11.669Z] Nothing to be done for setup.
[2025-08-25T22:39:11.669Z]
[2025-08-25T22:39:11.669Z] TESTING:
[2025-08-25T22:39:20.084Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-25T22:39:32.584Z] 22:39:31.176 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-25T22:39:35.085Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-25T22:39:35.875Z] Training: 60056, validation: 20285, test: 19854
[2025-08-25T22:39:35.875Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-25T22:39:36.653Z] GC before operation: completed in 194.579 ms, heap usage 146.109 MB -> 74.396 MB.
[2025-08-25T22:39:50.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:39:57.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:40:04.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:40:10.184Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:40:14.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:40:17.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:40:21.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:40:24.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:40:24.644Z] 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.
[2025-08-25T22:40:24.644Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:40:25.421Z] Top recommended movies for user id 72:
[2025-08-25T22:40:25.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:40:25.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:40:25.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:40:25.421Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:40:25.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:40:25.421Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (48941.065 ms) ======
[2025-08-25T22:40:25.421Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-25T22:40:25.421Z] GC before operation: completed in 220.631 ms, heap usage 391.146 MB -> 85.616 MB.
[2025-08-25T22:40:31.217Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:40:36.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:40:42.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:40:47.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:40:49.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:40:53.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:40:56.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:41:00.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:41:00.013Z] 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.
[2025-08-25T22:41:00.013Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:41:00.792Z] Top recommended movies for user id 72:
[2025-08-25T22:41:00.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:41:00.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:41:00.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:41:00.792Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:41:00.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:41:00.792Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (35048.990 ms) ======
[2025-08-25T22:41:00.792Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-25T22:41:00.792Z] GC before operation: completed in 236.311 ms, heap usage 177.814 MB -> 87.415 MB.
[2025-08-25T22:41:06.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:41:11.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:41:16.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:41:21.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:41:23.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:41:27.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:41:31.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:41:35.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:41:36.108Z] 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.
[2025-08-25T22:41:36.108Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:41:36.108Z] Top recommended movies for user id 72:
[2025-08-25T22:41:36.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:41:36.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:41:36.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:41:36.108Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:41:36.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:41:36.108Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (35683.408 ms) ======
[2025-08-25T22:41:36.108Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-25T22:41:36.886Z] GC before operation: completed in 301.910 ms, heap usage 251.724 MB -> 88.122 MB.
[2025-08-25T22:41:42.541Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:41:47.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:41:54.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:41:59.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:42:02.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:42:05.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:42:08.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:42:12.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:42:12.019Z] 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.
[2025-08-25T22:42:12.019Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:42:12.019Z] Top recommended movies for user id 72:
[2025-08-25T22:42:12.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:42:12.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:42:12.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:42:12.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:42:12.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:42:12.019Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35481.914 ms) ======
[2025-08-25T22:42:12.019Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-25T22:42:12.792Z] GC before operation: completed in 278.687 ms, heap usage 211.686 MB -> 88.337 MB.
[2025-08-25T22:42:17.361Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:42:21.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:42:27.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:42:32.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:42:35.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:42:38.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:42:41.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:42:44.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:42:44.969Z] 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.
[2025-08-25T22:42:44.969Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:42:44.969Z] Top recommended movies for user id 72:
[2025-08-25T22:42:44.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:42:44.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:42:44.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:42:44.969Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:42:44.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:42:44.969Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32787.124 ms) ======
[2025-08-25T22:42:44.969Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-25T22:42:45.751Z] GC before operation: completed in 242.698 ms, heap usage 193.413 MB -> 88.284 MB.
[2025-08-25T22:42:51.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:42:55.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:43:00.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:43:05.495Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:43:07.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:43:10.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:43:13.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:43:16.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:43:17.254Z] 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.
[2025-08-25T22:43:17.254Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:43:17.254Z] Top recommended movies for user id 72:
[2025-08-25T22:43:17.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:43:17.254Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:43:17.254Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:43:17.254Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:43:17.254Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:43:17.254Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31909.287 ms) ======
[2025-08-25T22:43:17.254Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-25T22:43:18.038Z] GC before operation: completed in 288.749 ms, heap usage 239.065 MB -> 88.625 MB.
[2025-08-25T22:43:22.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:43:27.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:43:32.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:43:37.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:43:39.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:43:42.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:43:44.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:43:48.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:43:48.411Z] 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.
[2025-08-25T22:43:48.411Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:43:48.411Z] Top recommended movies for user id 72:
[2025-08-25T22:43:48.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:43:48.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:43:48.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:43:48.411Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:43:48.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:43:48.411Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30870.974 ms) ======
[2025-08-25T22:43:48.411Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-25T22:43:49.187Z] GC before operation: completed in 270.287 ms, heap usage 166.271 MB -> 88.561 MB.
[2025-08-25T22:43:53.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:43:58.218Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:44:03.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:44:07.744Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:44:10.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:44:12.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:44:15.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:44:18.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:44:18.792Z] 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.
[2025-08-25T22:44:18.792Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:44:19.598Z] Top recommended movies for user id 72:
[2025-08-25T22:44:19.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:44:19.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:44:19.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:44:19.598Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:44:19.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:44:19.598Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30418.682 ms) ======
[2025-08-25T22:44:19.598Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-25T22:44:19.598Z] GC before operation: completed in 255.837 ms, heap usage 279.565 MB -> 88.891 MB.
[2025-08-25T22:44:25.254Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:44:28.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:44:34.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:44:37.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:44:41.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:44:43.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:44:47.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:44:49.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:44:49.807Z] 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.
[2025-08-25T22:44:49.807Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:44:50.589Z] Top recommended movies for user id 72:
[2025-08-25T22:44:50.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:44:50.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:44:50.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:44:50.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:44:50.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:44:50.589Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30805.778 ms) ======
[2025-08-25T22:44:50.589Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-25T22:44:50.589Z] GC before operation: completed in 201.710 ms, heap usage 296.818 MB -> 88.759 MB.
[2025-08-25T22:44:55.110Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:45:00.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:45:04.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:45:08.109Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:45:11.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:45:14.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:45:16.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:45:19.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:45:19.920Z] 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.
[2025-08-25T22:45:19.920Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:45:19.920Z] Top recommended movies for user id 72:
[2025-08-25T22:45:19.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:45:19.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:45:19.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:45:19.920Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:45:19.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:45:19.920Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (29492.968 ms) ======
[2025-08-25T22:45:19.920Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-25T22:45:19.920Z] GC before operation: completed in 208.774 ms, heap usage 418.867 MB -> 89.055 MB.
[2025-08-25T22:45:24.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:45:28.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:45:33.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:45:38.066Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:45:40.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:45:43.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:45:46.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:45:49.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:45:49.034Z] 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.
[2025-08-25T22:45:49.034Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:45:49.034Z] Top recommended movies for user id 72:
[2025-08-25T22:45:49.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:45:49.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:45:49.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:45:49.034Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:45:49.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:45:49.034Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29070.349 ms) ======
[2025-08-25T22:45:49.034Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-25T22:45:49.809Z] GC before operation: completed in 190.532 ms, heap usage 240.083 MB -> 88.580 MB.
[2025-08-25T22:45:53.795Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:45:58.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:46:02.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:46:07.292Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:46:09.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:46:12.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:46:13.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:46:16.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:46:17.155Z] 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.
[2025-08-25T22:46:17.155Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:46:17.155Z] Top recommended movies for user id 72:
[2025-08-25T22:46:17.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:46:17.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:46:17.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:46:17.156Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:46:17.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:46:17.156Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27889.385 ms) ======
[2025-08-25T22:46:17.156Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-25T22:46:17.927Z] GC before operation: completed in 193.064 ms, heap usage 163.725 MB -> 88.779 MB.
[2025-08-25T22:46:21.388Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:46:27.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:46:31.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:46:37.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:46:41.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:46:44.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:46:47.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:46:50.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:46:50.850Z] 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.
[2025-08-25T22:46:50.850Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:46:50.850Z] Top recommended movies for user id 72:
[2025-08-25T22:46:50.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:46:50.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:46:50.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:46:50.850Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:46:50.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:46:50.850Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (33415.672 ms) ======
[2025-08-25T22:46:50.850Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-25T22:46:51.683Z] GC before operation: completed in 359.363 ms, heap usage 395.112 MB -> 89.110 MB.
[2025-08-25T22:46:57.358Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:47:04.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:47:09.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:47:14.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:47:17.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:47:20.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:47:22.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:47:26.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:47:26.409Z] 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.
[2025-08-25T22:47:26.409Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:47:26.409Z] Top recommended movies for user id 72:
[2025-08-25T22:47:26.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:47:26.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:47:26.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:47:26.409Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:47:26.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:47:26.409Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35320.681 ms) ======
[2025-08-25T22:47:26.409Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-25T22:47:27.188Z] GC before operation: completed in 257.872 ms, heap usage 343.483 MB -> 88.863 MB.
[2025-08-25T22:47:34.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:47:37.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:47:42.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:47:47.794Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:47:50.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:47:53.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:47:56.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:47:59.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:47:59.934Z] 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.
[2025-08-25T22:47:59.934Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:47:59.934Z] Top recommended movies for user id 72:
[2025-08-25T22:47:59.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:47:59.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:47:59.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:47:59.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:47:59.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:47:59.934Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33244.435 ms) ======
[2025-08-25T22:47:59.934Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-25T22:48:00.710Z] GC before operation: completed in 230.481 ms, heap usage 174.150 MB -> 88.909 MB.
[2025-08-25T22:48:06.654Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:48:12.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:48:18.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:48:23.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:48:25.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:48:28.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:48:31.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:48:34.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:48:34.907Z] 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.
[2025-08-25T22:48:34.907Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:48:34.907Z] Top recommended movies for user id 72:
[2025-08-25T22:48:34.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:48:34.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:48:34.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:48:34.907Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:48:34.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:48:34.907Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (34636.449 ms) ======
[2025-08-25T22:48:34.907Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-25T22:48:35.690Z] GC before operation: completed in 236.116 ms, heap usage 240.215 MB -> 88.788 MB.
[2025-08-25T22:48:41.878Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:48:46.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:48:54.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:49:01.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:49:03.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:49:06.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:49:09.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:49:12.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:49:13.124Z] 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.
[2025-08-25T22:49:13.124Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:49:13.124Z] Top recommended movies for user id 72:
[2025-08-25T22:49:13.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:49:13.124Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:49:13.124Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:49:13.124Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:49:13.124Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:49:13.124Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (37714.378 ms) ======
[2025-08-25T22:49:13.124Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-25T22:49:13.124Z] GC before operation: completed in 147.874 ms, heap usage 121.526 MB -> 88.759 MB.
[2025-08-25T22:49:27.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:49:29.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:49:34.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:49:38.129Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:49:40.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:49:43.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:49:45.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:49:48.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:49:48.892Z] 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.
[2025-08-25T22:49:48.892Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:49:48.892Z] Top recommended movies for user id 72:
[2025-08-25T22:49:48.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:49:48.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:49:48.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:49:48.892Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:49:48.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:49:48.892Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (35884.030 ms) ======
[2025-08-25T22:49:48.892Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-25T22:49:49.705Z] GC before operation: completed in 198.269 ms, heap usage 200.905 MB -> 88.713 MB.
[2025-08-25T22:49:55.341Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:49:58.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:50:03.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:50:07.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:50:10.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:50:12.804Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:50:15.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:50:18.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:50:18.782Z] 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.
[2025-08-25T22:50:18.782Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:50:18.782Z] Top recommended movies for user id 72:
[2025-08-25T22:50:18.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:50:18.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:50:18.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:50:18.782Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:50:18.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:50:18.782Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29757.904 ms) ======
[2025-08-25T22:50:18.782Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-25T22:50:19.562Z] GC before operation: completed in 299.118 ms, heap usage 177.577 MB -> 88.818 MB.
[2025-08-25T22:50:23.291Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:50:28.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:50:33.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:50:38.106Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:50:40.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:50:44.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:50:46.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:50:49.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:50:49.843Z] 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.
[2025-08-25T22:50:49.843Z] The best model improves the baseline by 14.52%.
[2025-08-25T22:50:49.843Z] Top recommended movies for user id 72:
[2025-08-25T22:50:49.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-25T22:50:49.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-25T22:50:49.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-25T22:50:49.843Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-25T22:50:49.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-25T22:50:49.843Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30476.519 ms) ======
[2025-08-25T22:50:50.618Z] -----------------------------------
[2025-08-25T22:50:50.618Z] renaissance-movie-lens_0_PASSED
[2025-08-25T22:50:50.618Z] -----------------------------------
[2025-08-25T22:50:50.618Z]
[2025-08-25T22:50:50.618Z] TEST TEARDOWN:
[2025-08-25T22:50:50.618Z] Nothing to be done for teardown.
[2025-08-25T22:50:50.618Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 22:50:50 2025 Epoch Time (ms): 1756162250141