renaissance-movie-lens_0
[2025-10-03T21:24:25.533Z] Running test renaissance-movie-lens_0 ...
[2025-10-03T21:24:25.533Z] ===============================================
[2025-10-03T21:24:25.533Z] renaissance-movie-lens_0 Start Time: Fri Oct 3 21:24:25 2025 Epoch Time (ms): 1759526665300
[2025-10-03T21:24:25.533Z] variation: NoOptions
[2025-10-03T21:24:25.533Z] JVM_OPTIONS:
[2025-10-03T21:24:25.533Z] { \
[2025-10-03T21:24:25.533Z] echo ""; echo "TEST SETUP:"; \
[2025-10-03T21:24:25.533Z] echo "Nothing to be done for setup."; \
[2025-10-03T21:24:25.533Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17595235605636/renaissance-movie-lens_0"; \
[2025-10-03T21:24:25.533Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17595235605636/renaissance-movie-lens_0"; \
[2025-10-03T21:24:25.533Z] echo ""; echo "TESTING:"; \
[2025-10-03T21:24:25.533Z] "/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_17595235605636/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-03T21:24:25.533Z] 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_17595235605636/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-03T21:24:25.533Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-03T21:24:25.533Z] echo "Nothing to be done for teardown."; \
[2025-10-03T21:24:25.534Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17595235605636/TestTargetResult";
[2025-10-03T21:24:25.534Z]
[2025-10-03T21:24:25.534Z] TEST SETUP:
[2025-10-03T21:24:25.534Z] Nothing to be done for setup.
[2025-10-03T21:24:25.534Z]
[2025-10-03T21:24:25.534Z] TESTING:
[2025-10-03T21:24:33.147Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2025-10-03T21:24:42.832Z] 21:24:41.382 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-03T21:24:45.025Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-03T21:24:46.421Z] Training: 60056, validation: 20285, test: 19854
[2025-10-03T21:24:46.421Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-03T21:24:46.421Z] GC before operation: completed in 331.930 ms, heap usage 184.459 MB -> 75.809 MB.
[2025-10-03T21:24:55.410Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:25:02.906Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:25:09.215Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:25:14.351Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:25:17.333Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:25:20.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:25:23.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:25:26.881Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:25:27.542Z] 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.
[2025-10-03T21:25:27.542Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:25:28.192Z] Top recommended movies for user id 72:
[2025-10-03T21:25:28.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:25:28.192Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:25:28.192Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:25:28.192Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:25:28.192Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:25:28.192Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41542.895 ms) ======
[2025-10-03T21:25:28.192Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-03T21:25:28.192Z] GC before operation: completed in 251.142 ms, heap usage 162.267 MB -> 85.941 MB.
[2025-10-03T21:25:34.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:25:39.504Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:25:44.707Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:25:48.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:25:51.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:25:53.942Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:25:57.970Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:26:01.062Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:26:01.062Z] 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.
[2025-10-03T21:26:01.062Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:26:01.745Z] Top recommended movies for user id 72:
[2025-10-03T21:26:01.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:26:01.745Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:26:01.745Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:26:01.745Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:26:01.745Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:26:01.745Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33219.944 ms) ======
[2025-10-03T21:26:01.745Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-03T21:26:01.745Z] GC before operation: completed in 283.007 ms, heap usage 141.519 MB -> 87.697 MB.
[2025-10-03T21:26:06.906Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:26:12.515Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:26:18.671Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:26:22.610Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:26:24.852Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:26:27.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:26:31.821Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:26:34.872Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:26:34.872Z] 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.
[2025-10-03T21:26:35.565Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:26:35.565Z] Top recommended movies for user id 72:
[2025-10-03T21:26:35.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:26:35.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:26:35.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:26:35.565Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:26:35.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:26:35.565Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33692.282 ms) ======
[2025-10-03T21:26:35.565Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-03T21:26:35.565Z] GC before operation: completed in 224.028 ms, heap usage 108.192 MB -> 88.355 MB.
[2025-10-03T21:26:40.556Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:26:45.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:26:49.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:26:54.091Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:26:57.299Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:26:59.446Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:27:02.517Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:27:05.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:27:05.476Z] 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.
[2025-10-03T21:27:05.476Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:27:06.135Z] Top recommended movies for user id 72:
[2025-10-03T21:27:06.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:27:06.136Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:27:06.136Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:27:06.136Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:27:06.136Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:27:06.136Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30122.542 ms) ======
[2025-10-03T21:27:06.136Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-03T21:27:06.136Z] GC before operation: completed in 328.606 ms, heap usage 248.381 MB -> 88.760 MB.
[2025-10-03T21:27:10.023Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:27:13.993Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:27:17.866Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:27:21.735Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:27:23.829Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:27:25.920Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:27:28.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:27:30.239Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:27:30.239Z] 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.
[2025-10-03T21:27:30.889Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:27:30.889Z] Top recommended movies for user id 72:
[2025-10-03T21:27:30.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:27:30.889Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:27:30.889Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:27:30.889Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:27:30.889Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:27:30.889Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24610.168 ms) ======
[2025-10-03T21:27:30.889Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-03T21:27:30.889Z] GC before operation: completed in 215.304 ms, heap usage 308.038 MB -> 88.784 MB.
[2025-10-03T21:27:35.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:27:39.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:27:42.158Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:27:47.251Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:27:49.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:27:51.555Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:27:53.668Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:27:55.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:27:56.451Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-10-03T21:27:56.451Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:27:56.451Z] Top recommended movies for user id 72:
[2025-10-03T21:27:56.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:27:56.451Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:27:56.451Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:27:56.451Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:27:56.451Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:27:56.451Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25652.208 ms) ======
[2025-10-03T21:27:56.451Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-03T21:27:57.123Z] GC before operation: completed in 227.195 ms, heap usage 176.467 MB -> 88.923 MB.
[2025-10-03T21:28:01.078Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:28:04.082Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:28:08.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:28:12.476Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:28:15.634Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:28:18.872Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:28:22.934Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:28:25.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:28:25.806Z] 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.
[2025-10-03T21:28:25.806Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:28:25.806Z] Top recommended movies for user id 72:
[2025-10-03T21:28:25.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:28:25.806Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:28:25.806Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:28:25.806Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:28:25.806Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:28:25.806Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29115.633 ms) ======
[2025-10-03T21:28:25.806Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-03T21:28:26.479Z] GC before operation: completed in 327.900 ms, heap usage 216.933 MB -> 88.904 MB.
[2025-10-03T21:28:31.448Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:28:35.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:28:40.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:28:44.751Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:28:48.201Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:28:51.279Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:28:53.411Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:28:56.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:28:56.635Z] 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.
[2025-10-03T21:28:57.334Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:28:57.334Z] Top recommended movies for user id 72:
[2025-10-03T21:28:57.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:28:57.335Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:28:57.335Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:28:57.335Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:28:57.335Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:28:57.335Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30930.643 ms) ======
[2025-10-03T21:28:57.335Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-03T21:28:57.335Z] GC before operation: completed in 297.392 ms, heap usage 304.974 MB -> 89.349 MB.
[2025-10-03T21:29:02.340Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:29:06.381Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:29:11.353Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:29:15.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:29:18.635Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:29:21.585Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:29:25.548Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:29:27.796Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:29:28.539Z] 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.
[2025-10-03T21:29:28.539Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:29:29.194Z] Top recommended movies for user id 72:
[2025-10-03T21:29:29.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:29:29.194Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:29:29.194Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:29:29.194Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:29:29.194Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:29:29.194Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31321.635 ms) ======
[2025-10-03T21:29:29.194Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-03T21:29:29.194Z] GC before operation: completed in 410.077 ms, heap usage 177.995 MB -> 89.007 MB.
[2025-10-03T21:29:34.961Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:29:38.085Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:29:43.496Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:29:47.440Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:29:50.523Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:29:53.601Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:29:56.582Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:30:00.744Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:30:00.744Z] 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.
[2025-10-03T21:30:00.744Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:30:01.415Z] Top recommended movies for user id 72:
[2025-10-03T21:30:01.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:30:01.415Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:30:01.415Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:30:01.415Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:30:01.415Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:30:01.415Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31944.542 ms) ======
[2025-10-03T21:30:01.415Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-03T21:30:01.415Z] GC before operation: completed in 302.393 ms, heap usage 409.141 MB -> 89.738 MB.
[2025-10-03T21:30:06.634Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:30:11.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:30:16.725Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:30:21.533Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:30:25.573Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:30:27.739Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:30:30.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:30:33.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:30:34.551Z] 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.
[2025-10-03T21:30:34.551Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:30:34.551Z] Top recommended movies for user id 72:
[2025-10-03T21:30:34.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:30:34.551Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:30:34.551Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:30:34.551Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:30:34.551Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:30:34.551Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (33012.737 ms) ======
[2025-10-03T21:30:34.551Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-03T21:30:34.551Z] GC before operation: completed in 259.149 ms, heap usage 355.782 MB -> 89.280 MB.
[2025-10-03T21:30:39.548Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:30:43.456Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:30:48.481Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:30:52.395Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:30:55.392Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:30:57.640Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:31:00.950Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:31:03.100Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:31:03.793Z] 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.
[2025-10-03T21:31:03.793Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:31:03.793Z] Top recommended movies for user id 72:
[2025-10-03T21:31:03.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:31:03.793Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:31:03.793Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:31:03.793Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:31:03.793Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:31:03.793Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29070.459 ms) ======
[2025-10-03T21:31:03.793Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-03T21:31:04.449Z] GC before operation: completed in 323.337 ms, heap usage 223.896 MB -> 89.261 MB.
[2025-10-03T21:31:09.631Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:31:13.595Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:31:18.601Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:31:22.562Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:31:24.802Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:31:27.870Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:31:30.923Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:31:33.954Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:31:34.635Z] 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.
[2025-10-03T21:31:34.635Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:31:34.635Z] Top recommended movies for user id 72:
[2025-10-03T21:31:34.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:31:34.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:31:34.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:31:34.635Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:31:34.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:31:34.635Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30332.102 ms) ======
[2025-10-03T21:31:34.635Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-03T21:31:34.635Z] GC before operation: completed in 283.625 ms, heap usage 193.285 MB -> 89.230 MB.
[2025-10-03T21:31:39.687Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:31:44.232Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:31:49.410Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:31:53.452Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:31:55.618Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:31:58.670Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:32:00.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:32:03.113Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:32:03.774Z] 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.
[2025-10-03T21:32:03.774Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:32:04.464Z] Top recommended movies for user id 72:
[2025-10-03T21:32:04.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:32:04.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:32:04.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:32:04.464Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:32:04.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:32:04.464Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29313.229 ms) ======
[2025-10-03T21:32:04.464Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-03T21:32:04.464Z] GC before operation: completed in 435.533 ms, heap usage 217.932 MB -> 89.127 MB.
[2025-10-03T21:32:09.472Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:32:13.407Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:32:19.801Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:32:23.880Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:32:27.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:32:31.583Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:32:34.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:32:37.692Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:32:37.692Z] 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.
[2025-10-03T21:32:37.692Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:32:37.692Z] Top recommended movies for user id 72:
[2025-10-03T21:32:37.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:32:37.693Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:32:37.693Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:32:37.693Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:32:37.693Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:32:37.693Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33366.426 ms) ======
[2025-10-03T21:32:37.693Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-03T21:32:38.364Z] GC before operation: completed in 245.542 ms, heap usage 228.303 MB -> 89.483 MB.
[2025-10-03T21:32:42.307Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:32:47.458Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:32:51.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:32:55.430Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:32:58.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:33:01.551Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:33:03.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:33:05.933Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:33:06.651Z] 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.
[2025-10-03T21:33:06.652Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:33:06.652Z] Top recommended movies for user id 72:
[2025-10-03T21:33:06.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:33:06.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:33:06.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:33:06.652Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:33:06.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:33:06.652Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28357.853 ms) ======
[2025-10-03T21:33:06.652Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-03T21:33:06.652Z] GC before operation: completed in 309.924 ms, heap usage 141.220 MB -> 89.140 MB.
[2025-10-03T21:33:11.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:33:16.222Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:33:21.347Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:33:25.441Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:33:28.556Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:33:30.763Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:33:34.702Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:33:36.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:33:37.587Z] 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.
[2025-10-03T21:33:37.587Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:33:37.587Z] Top recommended movies for user id 72:
[2025-10-03T21:33:37.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:33:37.587Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:33:37.587Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:33:37.587Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:33:37.587Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:33:37.587Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (31018.368 ms) ======
[2025-10-03T21:33:37.587Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-03T21:33:38.245Z] GC before operation: completed in 232.972 ms, heap usage 304.386 MB -> 89.486 MB.
[2025-10-03T21:33:43.271Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:33:47.331Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:33:52.491Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:33:56.634Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:33:58.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:34:01.822Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:34:03.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:34:06.096Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:34:06.773Z] 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.
[2025-10-03T21:34:06.773Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:34:06.773Z] Top recommended movies for user id 72:
[2025-10-03T21:34:06.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:34:06.773Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:34:06.773Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:34:06.773Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:34:06.773Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:34:06.773Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28628.621 ms) ======
[2025-10-03T21:34:06.773Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-03T21:34:07.425Z] GC before operation: completed in 362.079 ms, heap usage 237.092 MB -> 89.271 MB.
[2025-10-03T21:34:11.272Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:34:16.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:34:21.266Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:34:25.308Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:34:28.418Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:34:30.746Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:34:34.701Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:34:36.888Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:34:38.065Z] 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.
[2025-10-03T21:34:38.065Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:34:38.065Z] Top recommended movies for user id 72:
[2025-10-03T21:34:38.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:34:38.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:34:38.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:34:38.065Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:34:38.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:34:38.065Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30831.960 ms) ======
[2025-10-03T21:34:38.065Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-03T21:34:38.066Z] GC before operation: completed in 280.056 ms, heap usage 140.939 MB -> 89.129 MB.
[2025-10-03T21:34:43.206Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:34:47.213Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:34:52.421Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:34:57.496Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:34:59.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:35:03.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:35:05.993Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:35:10.215Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:35:10.215Z] 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.
[2025-10-03T21:35:10.215Z] The best model improves the baseline by 14.34%.
[2025-10-03T21:35:10.908Z] Top recommended movies for user id 72:
[2025-10-03T21:35:10.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-10-03T21:35:10.908Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-10-03T21:35:10.908Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-10-03T21:35:10.908Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-10-03T21:35:10.908Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-10-03T21:35:10.908Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32640.999 ms) ======
[2025-10-03T21:35:12.295Z] -----------------------------------
[2025-10-03T21:35:12.295Z] renaissance-movie-lens_0_PASSED
[2025-10-03T21:35:12.295Z] -----------------------------------
[2025-10-03T21:35:12.295Z]
[2025-10-03T21:35:12.295Z] TEST TEARDOWN:
[2025-10-03T21:35:12.295Z] Nothing to be done for teardown.
[2025-10-03T21:35:12.295Z] renaissance-movie-lens_0 Finish Time: Fri Oct 3 21:35:11 2025 Epoch Time (ms): 1759527311603