renaissance-movie-lens_0
[2025-10-16T01:16:42.282Z] Running test renaissance-movie-lens_0 ...
[2025-10-16T01:16:42.282Z] ===============================================
[2025-10-16T01:16:42.282Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 01:16:41 2025 Epoch Time (ms): 1760577401853
[2025-10-16T01:16:42.282Z] variation: NoOptions
[2025-10-16T01:16:42.282Z] JVM_OPTIONS:
[2025-10-16T01:16:42.282Z] { \
[2025-10-16T01:16:42.282Z] echo ""; echo "TEST SETUP:"; \
[2025-10-16T01:16:42.282Z] echo "Nothing to be done for setup."; \
[2025-10-16T01:16:42.282Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1760575580611/renaissance-movie-lens_0"; \
[2025-10-16T01:16:42.282Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1760575580611/renaissance-movie-lens_0"; \
[2025-10-16T01:16:42.282Z] echo ""; echo "TESTING:"; \
[2025-10-16T01:16:42.282Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1760575580611/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-16T01:16:42.282Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1760575580611/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-16T01:16:42.282Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-16T01:16:42.282Z] echo "Nothing to be done for teardown."; \
[2025-10-16T01:16:42.282Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1760575580611/TestTargetResult";
[2025-10-16T01:16:42.282Z]
[2025-10-16T01:16:42.282Z] TEST SETUP:
[2025-10-16T01:16:42.282Z] Nothing to be done for setup.
[2025-10-16T01:16:42.282Z]
[2025-10-16T01:16:42.282Z] TESTING:
[2025-10-16T01:16:42.650Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-16T01:16:42.650Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_1760575580611/renaissance-movie-lens_0/launcher-011642-17363116995893686328/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-16T01:16:42.650Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-16T01:16:42.650Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-16T01:16:50.284Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-16T01:16:59.626Z] 01:16:59.233 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-16T01:17:02.919Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-16T01:17:02.919Z] Training: 60056, validation: 20285, test: 19854
[2025-10-16T01:17:02.919Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-16T01:17:03.288Z] GC before operation: completed in 134.932 ms, heap usage 175.845 MB -> 75.704 MB.
[2025-10-16T01:17:11.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:17:15.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:17:19.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:17:23.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:17:25.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:17:28.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:17:29.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:17:32.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:17:32.727Z] 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.
[2025-10-16T01:17:32.727Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:17:33.091Z] Top recommended movies for user id 72:
[2025-10-16T01:17:33.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:17:33.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:17:33.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:17:33.091Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:17:33.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:17:33.091Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29753.671 ms) ======
[2025-10-16T01:17:33.091Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-16T01:17:33.091Z] GC before operation: completed in 154.675 ms, heap usage 181.866 MB -> 88.615 MB.
[2025-10-16T01:17:37.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:17:40.495Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:17:44.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:17:47.987Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:17:50.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:17:52.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:17:54.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:17:56.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:17:56.786Z] 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.
[2025-10-16T01:17:57.167Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:17:57.167Z] Top recommended movies for user id 72:
[2025-10-16T01:17:57.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:17:57.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:17:57.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:17:57.167Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:17:57.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:17:57.167Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24121.796 ms) ======
[2025-10-16T01:17:57.167Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-16T01:17:57.542Z] GC before operation: completed in 143.199 ms, heap usage 374.639 MB -> 88.717 MB.
[2025-10-16T01:18:00.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:18:04.063Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:18:08.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:18:10.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:18:12.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:18:14.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:18:16.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:18:19.289Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:18:19.289Z] 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.
[2025-10-16T01:18:19.289Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:18:19.289Z] Top recommended movies for user id 72:
[2025-10-16T01:18:19.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:18:19.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:18:19.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:18:19.289Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:18:19.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:18:19.289Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22060.359 ms) ======
[2025-10-16T01:18:19.289Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-16T01:18:19.658Z] GC before operation: completed in 145.528 ms, heap usage 378.719 MB -> 89.511 MB.
[2025-10-16T01:18:22.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:18:26.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:18:29.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:18:32.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:18:34.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:18:35.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:18:38.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:18:39.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:18:39.984Z] 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.
[2025-10-16T01:18:39.984Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:18:39.984Z] Top recommended movies for user id 72:
[2025-10-16T01:18:39.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:18:39.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:18:39.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:18:39.984Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:18:39.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:18:39.984Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20560.927 ms) ======
[2025-10-16T01:18:39.984Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-16T01:18:40.351Z] GC before operation: completed in 145.363 ms, heap usage 417.671 MB -> 89.845 MB.
[2025-10-16T01:18:43.572Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:18:46.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:18:50.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:18:53.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:18:55.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:18:57.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:18:59.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:19:01.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:19:01.750Z] 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.
[2025-10-16T01:19:01.750Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:19:02.124Z] Top recommended movies for user id 72:
[2025-10-16T01:19:02.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:19:02.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:19:02.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:19:02.125Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:19:02.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:19:02.125Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21692.283 ms) ======
[2025-10-16T01:19:02.125Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-16T01:19:02.125Z] GC before operation: completed in 156.341 ms, heap usage 303.722 MB -> 89.609 MB.
[2025-10-16T01:19:05.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:19:08.692Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:19:11.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:19:14.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:19:16.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:19:18.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:19:20.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:19:22.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:19:22.417Z] 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.
[2025-10-16T01:19:22.417Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:19:22.781Z] Top recommended movies for user id 72:
[2025-10-16T01:19:22.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:19:22.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:19:22.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:19:22.781Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:19:22.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:19:22.781Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20637.179 ms) ======
[2025-10-16T01:19:22.781Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-16T01:19:22.781Z] GC before operation: completed in 146.062 ms, heap usage 290.678 MB -> 90.026 MB.
[2025-10-16T01:19:25.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:19:29.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:19:32.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:19:35.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:19:37.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:19:39.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:19:41.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:19:43.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:19:43.509Z] 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.
[2025-10-16T01:19:43.509Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:19:43.509Z] Top recommended movies for user id 72:
[2025-10-16T01:19:43.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:19:43.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:19:43.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:19:43.509Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:19:43.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:19:43.509Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20754.490 ms) ======
[2025-10-16T01:19:43.509Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-16T01:19:43.901Z] GC before operation: completed in 143.943 ms, heap usage 361.783 MB -> 89.991 MB.
[2025-10-16T01:19:47.094Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:19:49.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:19:52.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:19:54.727Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:19:56.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:19:58.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:20:00.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:20:02.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:20:02.239Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-16T01:20:02.239Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:20:02.630Z] Top recommended movies for user id 72:
[2025-10-16T01:20:02.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:20:02.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:20:02.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:20:02.630Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:20:02.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:20:02.630Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18626.806 ms) ======
[2025-10-16T01:20:02.630Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-16T01:20:02.630Z] GC before operation: completed in 145.838 ms, heap usage 352.193 MB -> 90.208 MB.
[2025-10-16T01:20:05.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:20:08.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:20:11.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:20:14.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:20:16.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:20:17.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:20:20.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:20:21.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:20:22.124Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-16T01:20:22.124Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:20:22.493Z] Top recommended movies for user id 72:
[2025-10-16T01:20:22.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:20:22.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:20:22.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:20:22.493Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:20:22.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:20:22.493Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19824.725 ms) ======
[2025-10-16T01:20:22.493Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-16T01:20:22.493Z] GC before operation: completed in 142.117 ms, heap usage 134.125 MB -> 89.825 MB.
[2025-10-16T01:20:26.628Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:20:29.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:20:32.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:20:35.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:20:37.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:20:39.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:20:41.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:20:42.436Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:20:42.803Z] 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.
[2025-10-16T01:20:42.803Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:20:43.169Z] Top recommended movies for user id 72:
[2025-10-16T01:20:43.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:20:43.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:20:43.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:20:43.169Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:20:43.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:20:43.169Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20555.478 ms) ======
[2025-10-16T01:20:43.169Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-16T01:20:43.169Z] GC before operation: completed in 143.146 ms, heap usage 348.453 MB -> 90.307 MB.
[2025-10-16T01:20:46.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:20:48.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:20:51.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:20:54.707Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:20:56.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:20:58.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:21:00.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:21:02.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:21:02.318Z] 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.
[2025-10-16T01:21:02.318Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:21:02.688Z] Top recommended movies for user id 72:
[2025-10-16T01:21:02.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:21:02.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:21:02.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:21:02.688Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:21:02.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:21:02.688Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19365.447 ms) ======
[2025-10-16T01:21:02.688Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-16T01:21:02.688Z] GC before operation: completed in 144.888 ms, heap usage 539.846 MB -> 93.511 MB.
[2025-10-16T01:21:05.918Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:21:08.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:21:11.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:21:14.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:21:16.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:21:17.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:21:19.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:21:21.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:21:22.050Z] 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.
[2025-10-16T01:21:22.050Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:21:22.050Z] Top recommended movies for user id 72:
[2025-10-16T01:21:22.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:21:22.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:21:22.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:21:22.050Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:21:22.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:21:22.050Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19419.756 ms) ======
[2025-10-16T01:21:22.050Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-16T01:21:22.419Z] GC before operation: completed in 145.189 ms, heap usage 165.905 MB -> 90.000 MB.
[2025-10-16T01:21:25.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:21:28.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:21:31.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:21:33.915Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:21:35.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:21:37.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:21:39.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:21:41.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:21:41.824Z] 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.
[2025-10-16T01:21:41.824Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:21:42.201Z] Top recommended movies for user id 72:
[2025-10-16T01:21:42.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:21:42.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:21:42.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:21:42.201Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:21:42.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:21:42.201Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19886.791 ms) ======
[2025-10-16T01:21:42.201Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-16T01:21:42.201Z] GC before operation: completed in 145.970 ms, heap usage 289.152 MB -> 90.318 MB.
[2025-10-16T01:21:45.547Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:21:48.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:21:51.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:21:53.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:21:55.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:21:57.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:21:58.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:22:00.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:22:00.958Z] 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.
[2025-10-16T01:22:00.958Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:22:01.330Z] Top recommended movies for user id 72:
[2025-10-16T01:22:01.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:22:01.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:22:01.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:22:01.330Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:22:01.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:22:01.330Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18921.506 ms) ======
[2025-10-16T01:22:01.330Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-16T01:22:01.330Z] GC before operation: completed in 142.852 ms, heap usage 287.731 MB -> 90.108 MB.
[2025-10-16T01:22:04.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:22:07.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:22:10.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:22:13.641Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:22:15.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:22:17.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:22:19.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:22:21.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:22:21.168Z] 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.
[2025-10-16T01:22:21.168Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:22:21.555Z] Top recommended movies for user id 72:
[2025-10-16T01:22:21.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:22:21.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:22:21.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:22:21.555Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:22:21.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:22:21.555Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20039.017 ms) ======
[2025-10-16T01:22:21.555Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-16T01:22:21.555Z] GC before operation: completed in 145.602 ms, heap usage 361.334 MB -> 90.427 MB.
[2025-10-16T01:22:24.797Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:22:27.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:22:30.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:22:33.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:22:35.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:22:37.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:22:38.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:22:40.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:22:41.157Z] 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.
[2025-10-16T01:22:41.157Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:22:41.560Z] Top recommended movies for user id 72:
[2025-10-16T01:22:41.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:22:41.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:22:41.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:22:41.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:22:41.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:22:41.560Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19810.923 ms) ======
[2025-10-16T01:22:41.560Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-16T01:22:41.560Z] GC before operation: completed in 142.538 ms, heap usage 289.067 MB -> 90.202 MB.
[2025-10-16T01:22:44.807Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:22:47.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:22:50.548Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:22:53.817Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:22:55.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:22:57.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:22:58.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:23:00.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:23:01.109Z] 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.
[2025-10-16T01:23:01.109Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:23:01.109Z] Top recommended movies for user id 72:
[2025-10-16T01:23:01.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:23:01.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:23:01.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:23:01.109Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:23:01.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:23:01.109Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19707.251 ms) ======
[2025-10-16T01:23:01.109Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-16T01:23:01.487Z] GC before operation: completed in 139.864 ms, heap usage 288.356 MB -> 90.307 MB.
[2025-10-16T01:23:04.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:23:07.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:23:09.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:23:12.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:23:14.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:23:16.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:23:17.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:23:19.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:23:19.296Z] 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.
[2025-10-16T01:23:19.690Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:23:19.690Z] Top recommended movies for user id 72:
[2025-10-16T01:23:19.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:23:19.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:23:19.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:23:19.690Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:23:19.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:23:19.690Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18319.622 ms) ======
[2025-10-16T01:23:19.690Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-16T01:23:20.071Z] GC before operation: completed in 168.970 ms, heap usage 191.167 MB -> 90.022 MB.
[2025-10-16T01:23:23.331Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:23:25.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:23:28.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:23:31.491Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:23:32.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:23:34.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:23:36.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:23:38.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:23:38.979Z] 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.
[2025-10-16T01:23:38.979Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:23:38.979Z] Top recommended movies for user id 72:
[2025-10-16T01:23:38.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:23:38.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:23:38.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:23:38.979Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:23:38.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:23:38.979Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19168.943 ms) ======
[2025-10-16T01:23:38.979Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-16T01:23:39.349Z] GC before operation: completed in 147.951 ms, heap usage 375.207 MB -> 90.315 MB.
[2025-10-16T01:23:42.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T01:23:45.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T01:23:48.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T01:23:51.537Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T01:23:52.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T01:23:54.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T01:23:56.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T01:23:58.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T01:23:58.889Z] 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.
[2025-10-16T01:23:58.889Z] The best model improves the baseline by 14.52%.
[2025-10-16T01:23:58.889Z] Top recommended movies for user id 72:
[2025-10-16T01:23:58.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T01:23:58.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T01:23:58.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T01:23:58.889Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T01:23:58.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T01:23:58.889Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19838.495 ms) ======
[2025-10-16T01:23:59.715Z] -----------------------------------
[2025-10-16T01:23:59.715Z] renaissance-movie-lens_0_PASSED
[2025-10-16T01:23:59.715Z] -----------------------------------
[2025-10-16T01:23:59.715Z]
[2025-10-16T01:23:59.715Z] TEST TEARDOWN:
[2025-10-16T01:23:59.715Z] Nothing to be done for teardown.
[2025-10-16T01:23:59.715Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 01:23:59 2025 Epoch Time (ms): 1760577839503