renaissance-movie-lens_0
[2025-11-29T15:14:51.828Z] Running test renaissance-movie-lens_0 ...
[2025-11-29T15:14:51.828Z] ===============================================
[2025-11-29T15:14:51.828Z] renaissance-movie-lens_0 Start Time: Sat Nov 29 15:14:51 2025 Epoch Time (ms): 1764429291331
[2025-11-29T15:14:51.828Z] variation: NoOptions
[2025-11-29T15:14:51.828Z] JVM_OPTIONS:
[2025-11-29T15:14:51.828Z] { \
[2025-11-29T15:14:51.828Z] echo ""; echo "TEST SETUP:"; \
[2025-11-29T15:14:51.828Z] echo "Nothing to be done for setup."; \
[2025-11-29T15:14:51.828Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17644269385044/renaissance-movie-lens_0"; \
[2025-11-29T15:14:51.828Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17644269385044/renaissance-movie-lens_0"; \
[2025-11-29T15:14:51.828Z] echo ""; echo "TESTING:"; \
[2025-11-29T15:14:51.828Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17644269385044/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-29T15:14:51.828Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17644269385044/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-29T15:14:51.828Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-29T15:14:51.828Z] echo "Nothing to be done for teardown."; \
[2025-11-29T15:14:51.828Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17644269385044/TestTargetResult";
[2025-11-29T15:14:51.828Z]
[2025-11-29T15:14:51.828Z] TEST SETUP:
[2025-11-29T15:14:51.828Z] Nothing to be done for setup.
[2025-11-29T15:14:51.828Z]
[2025-11-29T15:14:51.828Z] TESTING:
[2025-11-29T15:14:52.564Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-11-29T15:14:52.564Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17644269385044/renaissance-movie-lens_0/launcher-151451-7249991234499124618/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-11-29T15:14:52.564Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-11-29T15:14:52.564Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-11-29T15:15:02.138Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-11-29T15:15:15.583Z] 15:15:14.456 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-11-29T15:15:18.916Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-29T15:15:20.438Z] Training: 60056, validation: 20285, test: 19854
[2025-11-29T15:15:20.438Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-29T15:15:20.438Z] GC before operation: completed in 335.286 ms, heap usage 331.588 MB -> 75.632 MB.
[2025-11-29T15:15:34.392Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:15:44.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:15:50.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:15:57.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:16:01.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:16:05.173Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:16:08.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:16:12.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:16:13.662Z] 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.
[2025-11-29T15:16:13.662Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:16:14.423Z] Top recommended movies for user id 72:
[2025-11-29T15:16:14.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:16:14.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:16:14.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:16:14.423Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:16:14.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:16:14.423Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53623.401 ms) ======
[2025-11-29T15:16:14.423Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-29T15:16:14.423Z] GC before operation: completed in 264.036 ms, heap usage 379.973 MB -> 93.427 MB.
[2025-11-29T15:16:19.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:16:27.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:16:32.499Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:16:39.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:16:43.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:16:47.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:16:52.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:16:56.468Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:16:57.217Z] 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.
[2025-11-29T15:16:57.218Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:16:57.218Z] Top recommended movies for user id 72:
[2025-11-29T15:16:57.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:16:57.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:16:57.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:16:57.218Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:16:57.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:16:57.218Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (43160.739 ms) ======
[2025-11-29T15:16:57.218Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-29T15:16:57.961Z] GC before operation: completed in 294.630 ms, heap usage 182.560 MB -> 88.244 MB.
[2025-11-29T15:17:04.616Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:17:11.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:17:18.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:17:25.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:17:29.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:17:32.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:17:37.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:17:42.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:17:43.200Z] 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.
[2025-11-29T15:17:43.200Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:17:43.200Z] Top recommended movies for user id 72:
[2025-11-29T15:17:43.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:17:43.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:17:43.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:17:43.200Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:17:43.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:17:43.200Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45791.581 ms) ======
[2025-11-29T15:17:43.200Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-29T15:17:43.937Z] GC before operation: completed in 327.542 ms, heap usage 375.078 MB -> 89.282 MB.
[2025-11-29T15:17:50.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:17:57.233Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:18:03.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:18:10.847Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:18:14.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:18:18.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:18:22.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:18:27.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:18:27.101Z] 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.
[2025-11-29T15:18:27.101Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:18:27.838Z] Top recommended movies for user id 72:
[2025-11-29T15:18:27.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:18:27.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:18:27.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:18:27.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:18:27.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:18:27.838Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (43595.802 ms) ======
[2025-11-29T15:18:27.838Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-29T15:18:27.838Z] GC before operation: completed in 323.281 ms, heap usage 418.564 MB -> 89.556 MB.
[2025-11-29T15:18:39.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:18:48.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:18:58.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:19:03.169Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:19:07.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:19:11.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:19:15.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:19:20.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:19:20.801Z] 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.
[2025-11-29T15:19:20.801Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:19:20.801Z] Top recommended movies for user id 72:
[2025-11-29T15:19:20.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:19:20.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:19:20.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:19:20.801Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:19:20.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:19:20.802Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (53350.852 ms) ======
[2025-11-29T15:19:20.802Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-29T15:19:21.542Z] GC before operation: completed in 322.990 ms, heap usage 288.860 MB -> 89.332 MB.
[2025-11-29T15:19:28.220Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:19:34.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:19:42.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:19:48.619Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:19:51.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:19:55.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:20:00.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:20:03.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:20:04.206Z] 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.
[2025-11-29T15:20:04.206Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:20:04.942Z] Top recommended movies for user id 72:
[2025-11-29T15:20:04.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:20:04.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:20:04.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:20:04.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:20:04.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:20:04.942Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (43244.822 ms) ======
[2025-11-29T15:20:04.942Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-29T15:20:04.942Z] GC before operation: completed in 392.886 ms, heap usage 281.415 MB -> 89.693 MB.
[2025-11-29T15:20:11.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:20:18.295Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:20:23.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:20:30.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:20:35.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:20:38.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:20:42.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:20:46.097Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:20:46.831Z] 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.
[2025-11-29T15:20:46.831Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:20:46.831Z] Top recommended movies for user id 72:
[2025-11-29T15:20:46.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:20:46.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:20:46.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:20:46.831Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:20:46.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:20:46.831Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (41932.453 ms) ======
[2025-11-29T15:20:46.831Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-29T15:20:48.110Z] GC before operation: completed in 325.474 ms, heap usage 370.672 MB -> 89.812 MB.
[2025-11-29T15:20:56.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:21:02.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:21:14.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:21:27.788Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:21:30.155Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:21:33.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:21:37.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:21:40.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:21:41.378Z] 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.
[2025-11-29T15:21:41.378Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:21:42.121Z] Top recommended movies for user id 72:
[2025-11-29T15:21:42.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:21:42.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:21:42.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:21:42.121Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:21:42.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:21:42.121Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54768.075 ms) ======
[2025-11-29T15:21:42.121Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-29T15:21:42.121Z] GC before operation: completed in 285.663 ms, heap usage 299.922 MB -> 89.860 MB.
[2025-11-29T15:21:48.787Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:21:55.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:22:00.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:22:07.743Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:22:11.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:22:14.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:22:18.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:22:23.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:22:23.744Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-29T15:22:23.744Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:22:23.744Z] Top recommended movies for user id 72:
[2025-11-29T15:22:23.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:22:23.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:22:23.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:22:23.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:22:23.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:22:23.744Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (41421.708 ms) ======
[2025-11-29T15:22:23.744Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-29T15:22:24.488Z] GC before operation: completed in 323.676 ms, heap usage 264.287 MB -> 89.752 MB.
[2025-11-29T15:22:29.890Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:22:35.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:22:41.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:22:46.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:22:50.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:22:54.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:22:59.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:23:03.082Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:23:03.813Z] 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.
[2025-11-29T15:23:03.813Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:23:04.560Z] Top recommended movies for user id 72:
[2025-11-29T15:23:04.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:23:04.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:23:04.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:23:04.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:23:04.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:23:04.560Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (40002.270 ms) ======
[2025-11-29T15:23:04.560Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-29T15:23:04.560Z] GC before operation: completed in 300.597 ms, heap usage 255.448 MB -> 89.873 MB.
[2025-11-29T15:23:18.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:23:29.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:23:35.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:23:40.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:23:44.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:23:48.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:23:51.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:23:56.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:23:56.834Z] 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.
[2025-11-29T15:23:56.834Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:23:57.574Z] Top recommended movies for user id 72:
[2025-11-29T15:23:57.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:23:57.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:23:57.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:23:57.574Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:23:57.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:23:57.574Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52946.332 ms) ======
[2025-11-29T15:23:57.574Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-29T15:23:57.574Z] GC before operation: completed in 305.878 ms, heap usage 130.998 MB -> 89.424 MB.
[2025-11-29T15:24:04.230Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:24:10.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:24:19.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:24:26.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:24:30.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:24:34.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:24:38.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:24:42.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:24:42.634Z] 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.
[2025-11-29T15:24:42.634Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:24:43.395Z] Top recommended movies for user id 72:
[2025-11-29T15:24:43.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:24:43.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:24:43.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:24:43.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:24:43.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:24:43.395Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (45590.281 ms) ======
[2025-11-29T15:24:43.395Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-29T15:24:43.395Z] GC before operation: completed in 302.668 ms, heap usage 380.213 MB -> 89.984 MB.
[2025-11-29T15:24:48.824Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:24:52.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:24:58.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:25:03.535Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:25:07.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:25:11.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:25:14.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:25:18.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:25:18.760Z] 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.
[2025-11-29T15:25:19.508Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:25:19.508Z] Top recommended movies for user id 72:
[2025-11-29T15:25:19.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:25:19.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:25:19.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:25:19.508Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:25:19.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:25:19.508Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35850.451 ms) ======
[2025-11-29T15:25:19.508Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-29T15:25:19.508Z] GC before operation: completed in 271.308 ms, heap usage 256.190 MB -> 89.919 MB.
[2025-11-29T15:25:27.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:25:43.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:25:47.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:25:54.554Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:25:58.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:26:01.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:26:04.989Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:26:08.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:26:08.350Z] 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.
[2025-11-29T15:26:09.085Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:26:09.085Z] Top recommended movies for user id 72:
[2025-11-29T15:26:09.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:26:09.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:26:09.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:26:09.085Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:26:09.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:26:09.085Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49183.066 ms) ======
[2025-11-29T15:26:09.085Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-29T15:26:09.085Z] GC before operation: completed in 306.798 ms, heap usage 396.411 MB -> 89.989 MB.
[2025-11-29T15:26:14.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:26:19.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:26:25.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:26:33.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:26:35.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:26:40.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:26:44.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:26:48.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:26:48.222Z] 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.
[2025-11-29T15:26:48.222Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:26:48.977Z] Top recommended movies for user id 72:
[2025-11-29T15:26:48.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:26:48.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:26:48.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:26:48.977Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:26:48.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:26:48.977Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (39428.735 ms) ======
[2025-11-29T15:26:48.977Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-29T15:26:48.977Z] GC before operation: completed in 341.176 ms, heap usage 315.567 MB -> 90.064 MB.
[2025-11-29T15:26:54.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:26:59.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:27:05.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:27:09.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:27:12.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:27:16.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:27:19.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:27:22.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:27:23.469Z] 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.
[2025-11-29T15:27:23.469Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:27:24.200Z] Top recommended movies for user id 72:
[2025-11-29T15:27:24.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:27:24.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:27:24.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:27:24.200Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:27:24.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:27:24.200Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (34992.012 ms) ======
[2025-11-29T15:27:24.200Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-29T15:27:24.200Z] GC before operation: completed in 267.098 ms, heap usage 170.558 MB -> 89.856 MB.
[2025-11-29T15:27:43.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:27:47.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:27:53.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:27:57.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:28:00.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:28:04.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:28:07.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:28:10.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:28:10.698Z] 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.
[2025-11-29T15:28:10.698Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:28:11.438Z] Top recommended movies for user id 72:
[2025-11-29T15:28:11.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:28:11.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:28:11.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:28:11.438Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:28:11.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:28:11.438Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (46853.334 ms) ======
[2025-11-29T15:28:11.438Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-29T15:28:11.438Z] GC before operation: completed in 270.846 ms, heap usage 252.591 MB -> 89.897 MB.
[2025-11-29T15:28:16.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:28:21.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:28:26.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:28:31.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:28:36.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:28:40.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:28:43.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:28:47.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:28:47.005Z] 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.
[2025-11-29T15:28:47.005Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:28:47.753Z] Top recommended movies for user id 72:
[2025-11-29T15:28:47.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:28:47.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:28:47.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:28:47.753Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:28:47.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:28:47.753Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36137.459 ms) ======
[2025-11-29T15:28:47.753Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-29T15:28:47.753Z] GC before operation: completed in 287.694 ms, heap usage 255.732 MB -> 89.767 MB.
[2025-11-29T15:28:54.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:28:58.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:29:04.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:29:08.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:29:11.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:29:15.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:29:18.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:29:21.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:29:21.201Z] 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.
[2025-11-29T15:29:21.942Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:29:21.942Z] Top recommended movies for user id 72:
[2025-11-29T15:29:21.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:29:21.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:29:21.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:29:21.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:29:21.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:29:21.942Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (34117.891 ms) ======
[2025-11-29T15:29:21.942Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-29T15:29:21.942Z] GC before operation: completed in 290.090 ms, heap usage 132.047 MB -> 90.284 MB.
[2025-11-29T15:29:28.602Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-29T15:29:34.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-29T15:29:39.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-29T15:29:46.116Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-29T15:29:49.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-29T15:29:52.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-29T15:29:55.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-29T15:29:59.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-29T15:30:00.029Z] 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.
[2025-11-29T15:30:00.029Z] The best model improves the baseline by 14.52%.
[2025-11-29T15:30:00.029Z] Top recommended movies for user id 72:
[2025-11-29T15:30:00.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-29T15:30:00.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-29T15:30:00.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-29T15:30:00.029Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-29T15:30:00.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-29T15:30:00.029Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (37841.710 ms) ======
[2025-11-29T15:30:00.773Z] -----------------------------------
[2025-11-29T15:30:00.773Z] renaissance-movie-lens_0_PASSED
[2025-11-29T15:30:00.773Z] -----------------------------------
[2025-11-29T15:30:00.773Z]
[2025-11-29T15:30:00.773Z] TEST TEARDOWN:
[2025-11-29T15:30:00.773Z] Nothing to be done for teardown.
[2025-11-29T15:30:00.773Z] renaissance-movie-lens_0 Finish Time: Sat Nov 29 15:30:00 2025 Epoch Time (ms): 1764430200557