renaissance-movie-lens_0
[2025-12-16T09:22:03.876Z] Running test renaissance-movie-lens_0 ...
[2025-12-16T09:22:03.876Z] ===============================================
[2025-12-16T09:22:03.876Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 09:22:03 2025 Epoch Time (ms): 1765876923066
[2025-12-16T09:22:03.876Z] variation: NoOptions
[2025-12-16T09:22:03.876Z] JVM_OPTIONS:
[2025-12-16T09:22:03.876Z] { \
[2025-12-16T09:22:03.876Z] echo ""; echo "TEST SETUP:"; \
[2025-12-16T09:22:03.876Z] echo "Nothing to be done for setup."; \
[2025-12-16T09:22:03.876Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17658751645866/renaissance-movie-lens_0"; \
[2025-12-16T09:22:03.876Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17658751645866/renaissance-movie-lens_0"; \
[2025-12-16T09:22:03.876Z] echo ""; echo "TESTING:"; \
[2025-12-16T09:22:03.876Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-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_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17658751645866/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-16T09:22:03.876Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17658751645866/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-16T09:22:03.876Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-16T09:22:03.876Z] echo "Nothing to be done for teardown."; \
[2025-12-16T09:22:03.876Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17658751645866/TestTargetResult";
[2025-12-16T09:22:03.876Z]
[2025-12-16T09:22:03.876Z] TEST SETUP:
[2025-12-16T09:22:03.876Z] Nothing to be done for setup.
[2025-12-16T09:22:03.876Z]
[2025-12-16T09:22:03.876Z] TESTING:
[2025-12-16T09:22:04.923Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-16T09:22:04.923Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17658751645866/renaissance-movie-lens_0/launcher-092203-16314669366562350584/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-16T09:22:04.923Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-16T09:22:04.923Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-16T09:22:14.462Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-16T09:22:26.716Z] 09:22:26.486 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-16T09:22:29.982Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-16T09:22:31.016Z] Training: 60056, validation: 20285, test: 19854
[2025-12-16T09:22:31.016Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-16T09:22:31.016Z] GC before operation: completed in 167.084 ms, heap usage 156.833 MB -> 75.793 MB.
[2025-12-16T09:22:43.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:22:49.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:22:55.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:23:00.796Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:23:04.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:23:07.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:23:10.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:23:14.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:23:15.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:23:15.128Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:23:16.161Z] Top recommended movies for user id 72:
[2025-12-16T09:23:16.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:23:16.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:23:16.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:23:16.161Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:23:16.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:23:16.161Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44666.699 ms) ======
[2025-12-16T09:23:16.161Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-16T09:23:16.161Z] GC before operation: completed in 218.492 ms, heap usage 458.913 MB -> 86.710 MB.
[2025-12-16T09:23:22.129Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:23:28.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:23:34.127Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:23:40.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:23:43.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:23:46.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:23:50.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:23:53.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:23:54.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:23:54.815Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:23:54.815Z] Top recommended movies for user id 72:
[2025-12-16T09:23:54.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:23:54.815Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:23:54.815Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:23:54.815Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:23:54.815Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:23:54.815Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (38809.344 ms) ======
[2025-12-16T09:23:54.815Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-16T09:23:54.815Z] GC before operation: completed in 209.961 ms, heap usage 232.235 MB -> 88.498 MB.
[2025-12-16T09:24:02.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:24:06.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:24:11.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:24:16.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:24:18.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:24:21.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:24:23.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:24:26.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:24:26.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:24:26.428Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:24:26.428Z] Top recommended movies for user id 72:
[2025-12-16T09:24:26.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:24:26.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:24:26.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:24:26.428Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:24:26.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:24:26.428Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31720.080 ms) ======
[2025-12-16T09:24:26.428Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-16T09:24:27.586Z] GC before operation: completed in 191.493 ms, heap usage 425.870 MB -> 89.481 MB.
[2025-12-16T09:24:32.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:24:35.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:24:39.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:24:44.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:24:46.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:24:50.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:24:53.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:24:55.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:24:55.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:24:55.828Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:24:55.828Z] Top recommended movies for user id 72:
[2025-12-16T09:24:55.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:24:55.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:24:55.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:24:55.828Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:24:55.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:24:55.828Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29324.362 ms) ======
[2025-12-16T09:24:55.828Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-16T09:24:56.854Z] GC before operation: completed in 178.069 ms, heap usage 174.643 MB -> 89.440 MB.
[2025-12-16T09:25:00.211Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:25:04.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:25:09.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:25:12.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:25:15.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:25:17.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:25:19.266Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:25:21.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:25:22.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:25:22.405Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:25:22.405Z] Top recommended movies for user id 72:
[2025-12-16T09:25:22.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:25:22.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:25:22.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:25:22.405Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:25:22.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:25:22.405Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25958.311 ms) ======
[2025-12-16T09:25:22.405Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-16T09:25:22.405Z] GC before operation: completed in 175.734 ms, heap usage 358.695 MB -> 89.711 MB.
[2025-12-16T09:25:26.886Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:25:30.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:25:33.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:25:37.855Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:25:39.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:25:42.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:25:44.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:25:46.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:25:47.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:25:47.350Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:25:47.350Z] Top recommended movies for user id 72:
[2025-12-16T09:25:47.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:25:47.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:25:47.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:25:47.350Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:25:47.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:25:47.350Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24594.027 ms) ======
[2025-12-16T09:25:47.350Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-16T09:25:47.350Z] GC before operation: completed in 183.629 ms, heap usage 289.060 MB -> 89.879 MB.
[2025-12-16T09:25:50.625Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:25:55.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:25:58.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:26:02.863Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:26:03.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:26:06.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:26:08.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:26:11.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:26:11.005Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:26:11.005Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:26:12.033Z] Top recommended movies for user id 72:
[2025-12-16T09:26:12.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:26:12.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:26:12.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:26:12.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:26:12.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:26:12.033Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24174.775 ms) ======
[2025-12-16T09:26:12.033Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-16T09:26:12.033Z] GC before operation: completed in 169.805 ms, heap usage 175.961 MB -> 89.688 MB.
[2025-12-16T09:26:15.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:26:19.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:26:22.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:26:26.227Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:26:28.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:26:30.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:26:32.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:26:34.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:26:35.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:26:35.679Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:26:35.679Z] Top recommended movies for user id 72:
[2025-12-16T09:26:35.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:26:35.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:26:35.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:26:35.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:26:35.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:26:35.679Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23838.786 ms) ======
[2025-12-16T09:26:35.679Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-16T09:26:35.679Z] GC before operation: completed in 211.039 ms, heap usage 390.826 MB -> 90.163 MB.
[2025-12-16T09:26:38.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:26:43.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:26:46.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:26:49.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:26:52.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:26:54.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:26:56.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:26:58.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:26:58.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:26:58.900Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:26:58.900Z] Top recommended movies for user id 72:
[2025-12-16T09:26:58.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:26:58.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:26:58.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:26:58.900Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:26:58.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:26:58.900Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23390.903 ms) ======
[2025-12-16T09:26:58.900Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-16T09:26:58.900Z] GC before operation: completed in 168.885 ms, heap usage 294.007 MB -> 90.010 MB.
[2025-12-16T09:27:03.363Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:27:06.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:27:09.894Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:27:13.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:27:15.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:27:17.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:27:20.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:27:22.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:27:22.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:27:22.748Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:27:22.748Z] Top recommended movies for user id 72:
[2025-12-16T09:27:22.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:27:22.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:27:22.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:27:22.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:27:22.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:27:22.748Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23677.822 ms) ======
[2025-12-16T09:27:22.748Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-16T09:27:22.748Z] GC before operation: completed in 208.877 ms, heap usage 247.966 MB -> 90.089 MB.
[2025-12-16T09:27:25.996Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:27:29.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:27:33.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:27:36.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:27:38.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:27:40.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:27:43.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:27:45.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:27:45.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:27:45.906Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:27:45.906Z] Top recommended movies for user id 72:
[2025-12-16T09:27:45.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:27:45.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:27:45.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:27:45.906Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:27:45.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:27:45.906Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22842.953 ms) ======
[2025-12-16T09:27:45.906Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-16T09:27:45.906Z] GC before operation: completed in 237.089 ms, heap usage 405.077 MB -> 89.932 MB.
[2025-12-16T09:27:49.788Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:27:54.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:27:57.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:28:00.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:28:03.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:28:06.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:28:08.455Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:28:10.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:28:10.568Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:28:10.568Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:28:10.568Z] Top recommended movies for user id 72:
[2025-12-16T09:28:10.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:28:10.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:28:10.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:28:10.568Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:28:10.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:28:10.568Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24473.504 ms) ======
[2025-12-16T09:28:10.568Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-16T09:28:10.568Z] GC before operation: completed in 176.782 ms, heap usage 392.017 MB -> 90.180 MB.
[2025-12-16T09:28:13.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:28:18.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:28:28.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:28:28.063Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:28:29.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:28:32.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:28:34.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:28:36.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:28:37.621Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:28:37.622Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:28:37.622Z] Top recommended movies for user id 72:
[2025-12-16T09:28:37.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:28:37.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:28:37.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:28:37.622Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:28:37.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:28:37.622Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26763.544 ms) ======
[2025-12-16T09:28:37.622Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-16T09:28:37.622Z] GC before operation: completed in 202.074 ms, heap usage 246.273 MB -> 90.073 MB.
[2025-12-16T09:28:42.089Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:28:47.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:28:51.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:28:55.131Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:28:58.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:29:00.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:29:02.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:29:04.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:29:05.802Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:29:05.802Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:29:05.802Z] Top recommended movies for user id 72:
[2025-12-16T09:29:05.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:29:05.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:29:05.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:29:05.802Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:29:05.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:29:05.802Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27911.628 ms) ======
[2025-12-16T09:29:05.802Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-16T09:29:05.802Z] GC before operation: completed in 330.479 ms, heap usage 465.122 MB -> 90.318 MB.
[2025-12-16T09:29:10.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:29:15.122Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:29:19.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:29:23.094Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:29:26.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:29:28.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:29:32.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:29:35.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:29:35.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:29:35.503Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:29:35.503Z] Top recommended movies for user id 72:
[2025-12-16T09:29:35.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:29:35.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:29:35.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:29:35.503Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:29:35.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:29:35.503Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29538.032 ms) ======
[2025-12-16T09:29:35.503Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-16T09:29:35.503Z] GC before operation: completed in 215.228 ms, heap usage 161.752 MB -> 90.090 MB.
[2025-12-16T09:29:40.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:29:46.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:29:50.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:29:55.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:29:57.766Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:29:59.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:30:03.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:30:05.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:30:06.720Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:30:06.720Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:30:06.720Z] Top recommended movies for user id 72:
[2025-12-16T09:30:06.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:30:06.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:30:06.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:30:06.720Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:30:06.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:30:06.720Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30657.067 ms) ======
[2025-12-16T09:30:06.720Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-16T09:30:06.720Z] GC before operation: completed in 242.734 ms, heap usage 172.533 MB -> 89.906 MB.
[2025-12-16T09:30:11.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:30:15.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:30:18.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:30:23.498Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:30:27.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:30:29.482Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:30:32.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:30:34.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:30:35.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:30:35.954Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:30:35.954Z] Top recommended movies for user id 72:
[2025-12-16T09:30:35.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:30:35.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:30:35.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:30:35.954Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:30:35.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:30:35.954Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (29234.175 ms) ======
[2025-12-16T09:30:35.954Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-16T09:30:35.954Z] GC before operation: completed in 266.636 ms, heap usage 754.370 MB -> 94.030 MB.
[2025-12-16T09:30:42.028Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:30:46.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:30:55.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:30:58.595Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:31:02.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:31:05.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:31:09.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:31:14.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:31:14.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:31:14.267Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:31:14.267Z] Top recommended movies for user id 72:
[2025-12-16T09:31:14.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:31:14.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:31:14.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:31:14.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:31:14.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:31:14.267Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (37545.666 ms) ======
[2025-12-16T09:31:14.267Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-16T09:31:14.267Z] GC before operation: completed in 254.391 ms, heap usage 144.633 MB -> 90.287 MB.
[2025-12-16T09:31:18.786Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:31:23.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:31:31.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:31:37.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:31:40.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:31:40.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:31:43.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:31:44.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:31:44.772Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:31:44.772Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:31:45.832Z] Top recommended movies for user id 72:
[2025-12-16T09:31:45.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:31:45.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:31:45.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:31:45.832Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:31:45.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:31:45.832Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31208.856 ms) ======
[2025-12-16T09:31:45.832Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-16T09:31:45.832Z] GC before operation: completed in 232.731 ms, heap usage 246.070 MB -> 90.032 MB.
[2025-12-16T09:31:50.193Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T09:32:06.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T09:32:06.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T09:32:06.282Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T09:32:08.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T09:32:09.866Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T09:32:12.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T09:32:15.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T09:32:15.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-16T09:32:15.514Z] The best model improves the baseline by 14.52%.
[2025-12-16T09:32:15.514Z] Top recommended movies for user id 72:
[2025-12-16T09:32:15.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-16T09:32:15.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-16T09:32:15.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-16T09:32:15.514Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-16T09:32:15.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-16T09:32:15.514Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30207.370 ms) ======
[2025-12-16T09:32:17.697Z] -----------------------------------
[2025-12-16T09:32:17.697Z] renaissance-movie-lens_0_PASSED
[2025-12-16T09:32:17.697Z] -----------------------------------
[2025-12-16T09:32:17.697Z]
[2025-12-16T09:32:17.697Z] TEST TEARDOWN:
[2025-12-16T09:32:17.697Z] Nothing to be done for teardown.
[2025-12-16T09:32:17.697Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 09:32:17 2025 Epoch Time (ms): 1765877537072