renaissance-movie-lens_0
[2025-07-10T17:24:12.769Z] Running test renaissance-movie-lens_0 ...
[2025-07-10T17:24:12.769Z] ===============================================
[2025-07-10T17:24:12.769Z] renaissance-movie-lens_0 Start Time: Thu Jul 10 13:24:11 2025 Epoch Time (ms): 1752168251507
[2025-07-10T17:24:12.769Z] variation: NoOptions
[2025-07-10T17:24:12.769Z] JVM_OPTIONS:
[2025-07-10T17:24:12.769Z] { \
[2025-07-10T17:24:12.769Z] echo ""; echo "TEST SETUP:"; \
[2025-07-10T17:24:12.769Z] echo "Nothing to be done for setup."; \
[2025-07-10T17:24:12.769Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17521633706038/renaissance-movie-lens_0"; \
[2025-07-10T17:24:12.769Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17521633706038/renaissance-movie-lens_0"; \
[2025-07-10T17:24:12.769Z] echo ""; echo "TESTING:"; \
[2025-07-10T17:24:12.769Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17521633706038/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-10T17:24:12.769Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17521633706038/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-10T17:24:12.769Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-10T17:24:12.769Z] echo "Nothing to be done for teardown."; \
[2025-07-10T17:24:12.769Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17521633706038/TestTargetResult";
[2025-07-10T17:24:12.769Z]
[2025-07-10T17:24:12.769Z] TEST SETUP:
[2025-07-10T17:24:12.769Z] Nothing to be done for setup.
[2025-07-10T17:24:12.769Z]
[2025-07-10T17:24:12.769Z] TESTING:
[2025-07-10T17:24:22.085Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2025-07-10T17:24:53.536Z] 13:24:51.294 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2025-07-10T17:25:00.534Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-10T17:25:02.223Z] Training: 60056, validation: 20285, test: 19854
[2025-07-10T17:25:02.223Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-10T17:25:02.974Z] GC before operation: completed in 361.666 ms, heap usage 140.519 MB -> 75.825 MB.
[2025-07-10T17:25:36.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:25:45.965Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:26:20.021Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:26:40.601Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:26:42.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:26:45.884Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:26:49.231Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:26:56.857Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:26:57.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:26:57.604Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:26:58.371Z] Top recommended movies for user id 72:
[2025-07-10T17:26:58.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:26:58.371Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:26:58.371Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:26:58.371Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:26:58.371Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:26:58.371Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (115279.015 ms) ======
[2025-07-10T17:26:58.371Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-10T17:26:58.371Z] GC before operation: completed in 407.770 ms, heap usage 493.626 MB -> 93.439 MB.
[2025-07-10T17:27:06.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:27:13.248Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:27:21.195Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:27:26.614Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:27:32.838Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:27:36.255Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:27:41.873Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:27:47.214Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:27:47.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:27:47.214Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:27:47.888Z] Top recommended movies for user id 72:
[2025-07-10T17:27:47.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:27:47.888Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:27:47.888Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:27:47.888Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:27:47.888Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:27:47.888Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49253.610 ms) ======
[2025-07-10T17:27:47.888Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-10T17:27:48.584Z] GC before operation: completed in 424.037 ms, heap usage 392.659 MB -> 88.182 MB.
[2025-07-10T17:27:54.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:28:01.723Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:28:08.186Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:28:13.212Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:28:15.636Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:28:23.379Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:28:27.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:28:35.000Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:28:35.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:28:35.752Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:28:35.752Z] Top recommended movies for user id 72:
[2025-07-10T17:28:35.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:28:35.752Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:28:35.752Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:28:35.752Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:28:35.752Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:28:35.752Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (47622.978 ms) ======
[2025-07-10T17:28:35.752Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-10T17:28:36.429Z] GC before operation: completed in 365.507 ms, heap usage 203.550 MB -> 88.458 MB.
[2025-07-10T17:28:48.905Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:28:52.964Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:28:59.458Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:29:09.225Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:29:13.468Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:29:19.389Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:29:27.764Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:29:32.471Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:29:33.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:29:33.220Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:29:33.220Z] Top recommended movies for user id 72:
[2025-07-10T17:29:33.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:29:33.220Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:29:33.220Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:29:33.220Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:29:33.220Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:29:33.220Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (54885.131 ms) ======
[2025-07-10T17:29:33.220Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-10T17:29:33.220Z] GC before operation: completed in 278.620 ms, heap usage 140.399 MB -> 88.760 MB.
[2025-07-10T17:29:37.415Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:29:43.841Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:29:55.126Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:30:02.086Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:30:08.420Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:30:13.086Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:30:18.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:30:26.281Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:30:26.281Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:30:26.281Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:30:26.281Z] Top recommended movies for user id 72:
[2025-07-10T17:30:26.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:30:26.281Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:30:26.281Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:30:26.281Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:30:26.281Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:30:26.281Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55143.756 ms) ======
[2025-07-10T17:30:26.281Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-10T17:30:27.093Z] GC before operation: completed in 506.502 ms, heap usage 109.386 MB -> 89.146 MB.
[2025-07-10T17:30:37.703Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:30:41.940Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:30:51.872Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:30:55.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:30:59.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:31:03.570Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:31:06.732Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:31:09.782Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:31:09.782Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:31:10.825Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:31:10.825Z] Top recommended movies for user id 72:
[2025-07-10T17:31:10.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:31:10.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:31:10.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:31:10.825Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:31:10.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:31:10.825Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (43697.876 ms) ======
[2025-07-10T17:31:10.825Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-10T17:31:11.520Z] GC before operation: completed in 843.879 ms, heap usage 354.124 MB -> 89.382 MB.
[2025-07-10T17:31:31.224Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:31:41.338Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:31:49.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:31:59.608Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:32:05.120Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:32:07.553Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:32:11.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:32:14.970Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:32:15.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:32:15.635Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:32:15.635Z] Top recommended movies for user id 72:
[2025-07-10T17:32:15.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:32:15.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:32:15.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:32:15.635Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:32:15.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:32:15.635Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (64054.472 ms) ======
[2025-07-10T17:32:15.635Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-10T17:32:15.635Z] GC before operation: completed in 325.794 ms, heap usage 318.875 MB -> 89.225 MB.
[2025-07-10T17:32:22.157Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:32:36.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:32:45.711Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:32:49.768Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:32:54.084Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:32:57.288Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:33:02.596Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:33:04.844Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:33:05.529Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:33:05.529Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:33:06.196Z] Top recommended movies for user id 72:
[2025-07-10T17:33:06.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:33:06.196Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:33:06.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:33:06.197Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:33:06.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:33:06.197Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50031.383 ms) ======
[2025-07-10T17:33:06.197Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-10T17:33:06.197Z] GC before operation: completed in 243.571 ms, heap usage 251.352 MB -> 89.392 MB.
[2025-07-10T17:33:12.967Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:33:19.860Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:33:30.335Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:33:35.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:33:42.864Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:33:54.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:34:02.656Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:34:06.029Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:34:07.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:34:07.685Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:34:08.465Z] Top recommended movies for user id 72:
[2025-07-10T17:34:08.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:34:08.465Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:34:08.465Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:34:08.465Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:34:08.465Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:34:08.465Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (61856.445 ms) ======
[2025-07-10T17:34:08.465Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-10T17:34:08.465Z] GC before operation: completed in 461.099 ms, heap usage 250.324 MB -> 90.509 MB.
[2025-07-10T17:34:16.872Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:34:23.778Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:34:34.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:34:40.645Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:34:43.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:34:47.828Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:34:55.382Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:34:59.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:35:00.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:35:00.577Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:35:00.577Z] Top recommended movies for user id 72:
[2025-07-10T17:35:00.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:35:00.577Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:35:00.577Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:35:00.577Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:35:00.577Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:35:00.577Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51677.441 ms) ======
[2025-07-10T17:35:00.577Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-10T17:35:01.334Z] GC before operation: completed in 1230.984 ms, heap usage 273.939 MB -> 89.413 MB.
[2025-07-10T17:35:10.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:35:15.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:35:24.125Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:35:28.333Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:35:31.445Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:35:36.886Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:35:39.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:35:42.182Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:35:42.182Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:35:42.855Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:35:42.855Z] Top recommended movies for user id 72:
[2025-07-10T17:35:42.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:35:42.855Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:35:42.855Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:35:42.855Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:35:42.855Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:35:42.855Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (41238.861 ms) ======
[2025-07-10T17:35:42.855Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-10T17:35:42.855Z] GC before operation: completed in 443.417 ms, heap usage 217.677 MB -> 89.069 MB.
[2025-07-10T17:35:56.999Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:36:12.994Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:36:22.348Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:36:29.615Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:36:37.504Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:36:43.138Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:36:46.278Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:36:51.611Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:36:52.293Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:36:52.293Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:36:52.293Z] Top recommended movies for user id 72:
[2025-07-10T17:36:52.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:36:52.293Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:36:52.293Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:36:52.293Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:36:52.293Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:36:52.293Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (69341.834 ms) ======
[2025-07-10T17:36:52.293Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-10T17:36:52.995Z] GC before operation: completed in 737.582 ms, heap usage 236.535 MB -> 91.838 MB.
[2025-07-10T17:36:59.534Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:37:06.141Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:37:17.896Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:37:30.103Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:37:34.917Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:37:37.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:37:40.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:37:45.701Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:37:45.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:37:45.701Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:37:46.467Z] Top recommended movies for user id 72:
[2025-07-10T17:37:46.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:37:46.467Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:37:46.467Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:37:46.467Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:37:46.467Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:37:46.467Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52908.391 ms) ======
[2025-07-10T17:37:46.467Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-10T17:37:46.467Z] GC before operation: completed in 245.250 ms, heap usage 233.469 MB -> 89.419 MB.
[2025-07-10T17:37:50.502Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:37:56.780Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:38:03.649Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:38:07.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:38:12.116Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:38:14.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:38:17.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:38:29.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:38:30.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:38:30.982Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:38:30.982Z] Top recommended movies for user id 72:
[2025-07-10T17:38:30.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:38:30.982Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:38:30.982Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:38:30.982Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:38:30.982Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:38:30.982Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (44487.508 ms) ======
[2025-07-10T17:38:30.982Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-10T17:38:31.863Z] GC before operation: completed in 893.045 ms, heap usage 225.294 MB -> 89.770 MB.
[2025-07-10T17:38:38.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:38:43.705Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:38:49.870Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:38:56.241Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:38:57.700Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:39:00.734Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:39:08.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:39:16.350Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:39:16.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:39:16.350Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:39:16.350Z] Top recommended movies for user id 72:
[2025-07-10T17:39:16.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:39:16.350Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:39:16.350Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:39:16.350Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:39:16.350Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:39:16.350Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (44846.589 ms) ======
[2025-07-10T17:39:16.350Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-10T17:39:18.380Z] GC before operation: completed in 1888.245 ms, heap usage 260.185 MB -> 86.533 MB.
[2025-07-10T17:39:26.748Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:39:32.088Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:39:38.799Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:39:45.301Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:39:49.485Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:39:51.668Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:39:54.085Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:39:58.251Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:39:58.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:39:58.930Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:39:58.930Z] Top recommended movies for user id 72:
[2025-07-10T17:39:58.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:39:58.930Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:39:58.930Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:39:58.930Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:39:58.930Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:39:58.930Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (40676.174 ms) ======
[2025-07-10T17:39:58.930Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-10T17:39:59.689Z] GC before operation: completed in 434.315 ms, heap usage 351.855 MB -> 86.423 MB.
[2025-07-10T17:40:04.756Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:40:10.266Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:40:18.380Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:40:22.720Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:40:25.924Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:40:33.479Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:40:35.756Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:40:39.197Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:40:40.852Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:40:40.852Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:40:41.527Z] Top recommended movies for user id 72:
[2025-07-10T17:40:41.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:40:41.527Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:40:41.527Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:40:41.527Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:40:41.527Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:40:41.527Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42260.300 ms) ======
[2025-07-10T17:40:41.527Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-10T17:40:42.241Z] GC before operation: completed in 201.810 ms, heap usage 174.826 MB -> 86.287 MB.
[2025-07-10T17:40:47.737Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:40:53.013Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:40:58.226Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:41:02.072Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:41:07.403Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:41:08.818Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:41:16.409Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:41:18.736Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:41:18.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:41:18.737Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:41:20.550Z] Top recommended movies for user id 72:
[2025-07-10T17:41:20.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:41:20.550Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:41:20.550Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:41:20.550Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:41:20.550Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:41:20.550Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (37895.394 ms) ======
[2025-07-10T17:41:20.550Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-10T17:41:21.280Z] GC before operation: completed in 1273.520 ms, heap usage 138.055 MB -> 85.942 MB.
[2025-07-10T17:41:25.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:41:29.451Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:41:34.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:41:40.379Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:41:45.663Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:41:48.843Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:41:54.197Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:41:56.454Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:41:57.234Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:41:57.234Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:41:57.234Z] Top recommended movies for user id 72:
[2025-07-10T17:41:57.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:41:57.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:41:57.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:41:57.234Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:41:57.234Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:41:57.234Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (36063.764 ms) ======
[2025-07-10T17:41:57.234Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-10T17:41:57.887Z] GC before operation: completed in 304.467 ms, heap usage 382.819 MB -> 85.849 MB.
[2025-07-10T17:42:03.165Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-10T17:42:12.263Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-10T17:42:15.452Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-10T17:42:21.020Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-10T17:42:27.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-10T17:42:31.519Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-10T17:42:34.689Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-10T17:42:37.891Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-10T17:42:38.753Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-07-10T17:42:39.470Z] The best model improves the baseline by 14.34%.
[2025-07-10T17:42:40.170Z] Top recommended movies for user id 72:
[2025-07-10T17:42:40.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-07-10T17:42:40.170Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-07-10T17:42:40.170Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-07-10T17:42:40.170Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-07-10T17:42:40.170Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-07-10T17:42:40.170Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (42227.654 ms) ======
[2025-07-10T17:42:40.870Z] -----------------------------------
[2025-07-10T17:42:40.870Z] renaissance-movie-lens_0_PASSED
[2025-07-10T17:42:40.870Z] -----------------------------------
[2025-07-10T17:42:40.870Z]
[2025-07-10T17:42:40.870Z] TEST TEARDOWN:
[2025-07-10T17:42:40.870Z] Nothing to be done for teardown.
[2025-07-10T17:42:40.870Z] renaissance-movie-lens_0 Finish Time: Thu Jul 10 13:42:40 2025 Epoch Time (ms): 1752169360615