renaissance-movie-lens_0
[2026-02-27T07:11:26.753Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T07:11:26.753Z] ===============================================
[2026-02-27T07:11:26.753Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 07:11:23 2026 Epoch Time (ms): 1772176283073
[2026-02-27T07:11:26.753Z] variation: NoOptions
[2026-02-27T07:11:26.753Z] JVM_OPTIONS:
[2026-02-27T07:11:26.753Z] { \
[2026-02-27T07:11:26.753Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T07:11:26.753Z] echo "Nothing to be done for setup."; \
[2026-02-27T07:11:26.753Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721740768496/renaissance-movie-lens_0"; \
[2026-02-27T07:11:26.753Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721740768496/renaissance-movie-lens_0"; \
[2026-02-27T07:11:26.753Z] echo ""; echo "TESTING:"; \
[2026-02-27T07:11:26.753Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721740768496/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-27T07:11:26.753Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721740768496/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T07:11:26.753Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T07:11:26.753Z] echo "Nothing to be done for teardown."; \
[2026-02-27T07:11:26.753Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721740768496/TestTargetResult";
[2026-02-27T07:11:26.753Z]
[2026-02-27T07:11:26.754Z] TEST SETUP:
[2026-02-27T07:11:26.754Z] Nothing to be done for setup.
[2026-02-27T07:11:26.754Z]
[2026-02-27T07:11:26.754Z] TESTING:
[2026-02-27T07:11:26.754Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T07:11:26.754Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17721740768496/renaissance-movie-lens_0/launcher-071123-17528826786083109595/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T07:11:26.754Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T07:11:26.754Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T07:11:49.850Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T07:12:17.731Z] 07:12:16.782 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.
[2026-02-27T07:12:28.619Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T07:12:29.784Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T07:12:29.784Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T07:12:30.120Z] GC before operation: completed in 614.593 ms, heap usage 352.337 MB -> 75.962 MB.
[2026-02-27T07:12:57.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:13:08.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:13:22.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:13:32.991Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:13:38.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:13:46.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:13:53.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:13:58.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:13:59.496Z] 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.
[2026-02-27T07:13:59.496Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:14:00.658Z] Top recommended movies for user id 72:
[2026-02-27T07:14:00.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:14:00.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:14:00.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:14:00.658Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:14:00.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:14:00.658Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90435.229 ms) ======
[2026-02-27T07:14:00.658Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T07:14:01.836Z] GC before operation: completed in 1040.231 ms, heap usage 119.425 MB -> 88.324 MB.
[2026-02-27T07:14:12.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:14:21.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:14:32.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:14:41.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:14:46.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:14:52.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:14:58.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:15:02.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:15:03.670Z] 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.
[2026-02-27T07:15:03.671Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:15:04.840Z] Top recommended movies for user id 72:
[2026-02-27T07:15:04.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:15:04.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:15:04.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:15:04.840Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:15:04.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:15:04.840Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (62941.090 ms) ======
[2026-02-27T07:15:04.840Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T07:15:05.576Z] GC before operation: completed in 946.635 ms, heap usage 199.558 MB -> 88.746 MB.
[2026-02-27T07:15:16.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:15:23.699Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:15:34.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:15:41.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:15:47.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:15:53.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:15:59.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:16:05.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:16:05.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T07:16:05.752Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:16:06.457Z] Top recommended movies for user id 72:
[2026-02-27T07:16:06.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:16:06.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:16:06.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:16:06.457Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:16:06.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:16:06.457Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (60848.140 ms) ======
[2026-02-27T07:16:06.457Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T07:16:07.203Z] GC before operation: completed in 852.603 ms, heap usage 619.796 MB -> 93.071 MB.
[2026-02-27T07:16:16.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:16:25.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:16:34.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:16:43.019Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:16:47.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:16:53.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:16:58.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:17:03.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:17:04.438Z] 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.
[2026-02-27T07:17:04.438Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:17:05.150Z] Top recommended movies for user id 72:
[2026-02-27T07:17:05.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:17:05.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:17:05.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:17:05.151Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:17:05.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:17:05.151Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57925.236 ms) ======
[2026-02-27T07:17:05.151Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T07:17:05.880Z] GC before operation: completed in 876.367 ms, heap usage 696.518 MB -> 93.461 MB.
[2026-02-27T07:17:14.848Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:17:23.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:17:32.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:17:39.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:17:45.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:17:50.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:17:55.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:18:00.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:18:01.015Z] 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.
[2026-02-27T07:18:01.347Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:18:02.078Z] Top recommended movies for user id 72:
[2026-02-27T07:18:02.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:18:02.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:18:02.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:18:02.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:18:02.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:18:02.078Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55815.821 ms) ======
[2026-02-27T07:18:02.078Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T07:18:02.819Z] GC before operation: completed in 961.029 ms, heap usage 1.309 GB -> 95.440 MB.
[2026-02-27T07:18:13.659Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:18:19.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:18:28.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:18:35.790Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:18:39.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:18:44.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:18:49.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:18:54.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:18:54.723Z] 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.
[2026-02-27T07:18:55.059Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:18:55.772Z] Top recommended movies for user id 72:
[2026-02-27T07:18:55.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:18:55.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:18:55.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:18:55.772Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:18:55.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:18:55.772Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52842.812 ms) ======
[2026-02-27T07:18:55.772Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T07:18:56.490Z] GC before operation: completed in 929.664 ms, heap usage 955.089 MB -> 94.623 MB.
[2026-02-27T07:19:05.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:19:12.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:19:20.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:19:28.955Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:19:32.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:19:37.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:19:43.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:19:48.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:19:48.607Z] 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.
[2026-02-27T07:19:48.607Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:19:49.324Z] Top recommended movies for user id 72:
[2026-02-27T07:19:49.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:19:49.324Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:19:49.324Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:19:49.324Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:19:49.324Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:19:49.324Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52795.908 ms) ======
[2026-02-27T07:19:49.324Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T07:19:50.516Z] GC before operation: completed in 903.125 ms, heap usage 302.519 MB -> 90.132 MB.
[2026-02-27T07:19:59.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:20:06.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:20:15.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:20:23.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:20:27.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:20:33.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:20:38.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:20:43.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:20:44.479Z] 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.
[2026-02-27T07:20:44.479Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:20:45.189Z] Top recommended movies for user id 72:
[2026-02-27T07:20:45.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:20:45.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:20:45.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:20:45.189Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:20:45.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:20:45.189Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54939.351 ms) ======
[2026-02-27T07:20:45.189Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T07:20:46.358Z] GC before operation: completed in 907.379 ms, heap usage 392.913 MB -> 90.354 MB.
[2026-02-27T07:20:55.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:21:02.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:21:11.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:21:18.770Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:21:24.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:21:29.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:21:34.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:21:39.091Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:21:39.422Z] 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.
[2026-02-27T07:21:39.753Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:21:40.465Z] Top recommended movies for user id 72:
[2026-02-27T07:21:40.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:21:40.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:21:40.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:21:40.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:21:40.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:21:40.465Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54257.800 ms) ======
[2026-02-27T07:21:40.465Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T07:21:41.216Z] GC before operation: completed in 858.157 ms, heap usage 522.239 MB -> 90.384 MB.
[2026-02-27T07:21:50.127Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:21:57.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:22:04.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:22:12.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:22:15.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:22:20.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:22:25.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:22:29.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:22:29.877Z] 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.
[2026-02-27T07:22:29.877Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:22:30.584Z] Top recommended movies for user id 72:
[2026-02-27T07:22:30.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:22:30.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:22:30.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:22:30.584Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:22:30.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:22:30.584Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49296.175 ms) ======
[2026-02-27T07:22:30.584Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T07:22:31.745Z] GC before operation: completed in 937.242 ms, heap usage 1.027 GB -> 95.195 MB.
[2026-02-27T07:22:40.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:22:48.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:22:56.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:23:02.860Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:23:07.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:23:12.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:23:17.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:23:22.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:23:22.030Z] 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.
[2026-02-27T07:23:22.453Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:23:22.784Z] Top recommended movies for user id 72:
[2026-02-27T07:23:22.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:23:22.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:23:22.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:23:22.784Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:23:22.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:23:22.784Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51329.745 ms) ======
[2026-02-27T07:23:22.784Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T07:23:23.959Z] GC before operation: completed in 892.606 ms, heap usage 215.524 MB -> 89.906 MB.
[2026-02-27T07:23:33.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:23:38.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:23:46.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:23:53.649Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:23:58.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:24:03.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:24:07.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:24:12.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:24:12.749Z] 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.
[2026-02-27T07:24:13.083Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:24:13.909Z] Top recommended movies for user id 72:
[2026-02-27T07:24:13.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:24:13.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:24:13.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:24:13.909Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:24:13.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:24:13.909Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50107.157 ms) ======
[2026-02-27T07:24:13.909Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T07:24:14.642Z] GC before operation: completed in 870.888 ms, heap usage 285.658 MB -> 90.344 MB.
[2026-02-27T07:24:23.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:24:30.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:24:39.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:24:48.830Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:24:52.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:24:58.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:25:03.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:25:08.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:25:09.363Z] 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.
[2026-02-27T07:25:09.363Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:25:09.704Z] Top recommended movies for user id 72:
[2026-02-27T07:25:09.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:25:09.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:25:09.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:25:09.704Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:25:09.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:25:09.704Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55149.823 ms) ======
[2026-02-27T07:25:09.704Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T07:25:10.888Z] GC before operation: completed in 899.811 ms, heap usage 190.348 MB -> 90.317 MB.
[2026-02-27T07:25:19.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:25:28.720Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:25:37.646Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:25:44.926Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:25:49.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:25:55.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:25:58.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:26:03.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:26:05.360Z] 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.
[2026-02-27T07:26:05.360Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:26:05.689Z] Top recommended movies for user id 72:
[2026-02-27T07:26:05.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:26:05.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:26:05.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:26:05.689Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:26:05.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:26:05.689Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55007.149 ms) ======
[2026-02-27T07:26:05.689Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T07:26:06.866Z] GC before operation: completed in 872.982 ms, heap usage 136.179 MB -> 90.006 MB.
[2026-02-27T07:26:15.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:26:23.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:26:29.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:26:36.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:26:41.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:26:45.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:26:49.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:26:54.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:26:54.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T07:26:55.030Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:26:55.360Z] Top recommended movies for user id 72:
[2026-02-27T07:26:55.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:26:55.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:26:55.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:26:55.360Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:26:55.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:26:55.360Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48837.403 ms) ======
[2026-02-27T07:26:55.361Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T07:26:56.549Z] GC before operation: completed in 948.190 ms, heap usage 1.085 GB -> 95.572 MB.
[2026-02-27T07:27:05.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:27:12.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:27:20.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:27:27.498Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:27:31.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:27:36.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:27:40.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:27:44.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:27:45.287Z] 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.
[2026-02-27T07:27:45.618Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:27:46.411Z] Top recommended movies for user id 72:
[2026-02-27T07:27:46.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:27:46.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:27:46.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:27:46.411Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:27:46.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:27:46.411Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49757.382 ms) ======
[2026-02-27T07:27:46.411Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T07:27:47.163Z] GC before operation: completed in 1028.041 ms, heap usage 1.081 GB -> 95.482 MB.
[2026-02-27T07:27:56.064Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:28:03.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:28:10.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:28:17.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:28:22.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:28:27.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:28:32.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:28:36.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:28:37.430Z] 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.
[2026-02-27T07:28:37.430Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:28:38.138Z] Top recommended movies for user id 72:
[2026-02-27T07:28:38.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:28:38.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:28:38.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:28:38.138Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:28:38.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:28:38.138Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50876.555 ms) ======
[2026-02-27T07:28:38.138Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T07:28:38.923Z] GC before operation: completed in 884.269 ms, heap usage 301.895 MB -> 90.377 MB.
[2026-02-27T07:28:47.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:28:56.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:29:04.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:29:11.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:29:16.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:29:21.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:29:25.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:29:31.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:29:31.763Z] 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.
[2026-02-27T07:29:32.094Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:29:32.819Z] Top recommended movies for user id 72:
[2026-02-27T07:29:32.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:29:32.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:29:32.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:29:32.819Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:29:32.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:29:32.819Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53644.856 ms) ======
[2026-02-27T07:29:32.819Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T07:29:33.564Z] GC before operation: completed in 891.405 ms, heap usage 160.054 MB -> 90.070 MB.
[2026-02-27T07:29:42.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:29:49.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:29:58.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:30:06.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:30:10.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:30:15.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:30:20.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:30:25.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:30:26.343Z] 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.
[2026-02-27T07:30:26.343Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:30:26.674Z] Top recommended movies for user id 72:
[2026-02-27T07:30:26.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:30:26.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:30:26.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:30:26.674Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:30:26.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:30:26.674Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53309.750 ms) ======
[2026-02-27T07:30:26.674Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T07:30:27.838Z] GC before operation: completed in 902.945 ms, heap usage 133.254 MB -> 90.193 MB.
[2026-02-27T07:30:36.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T07:30:44.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T07:30:53.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T07:31:00.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T07:31:04.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T07:31:09.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T07:31:13.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T07:31:18.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T07:31:18.875Z] 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.
[2026-02-27T07:31:18.875Z] The best model improves the baseline by 14.52%.
[2026-02-27T07:31:19.665Z] Top recommended movies for user id 72:
[2026-02-27T07:31:19.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T07:31:19.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T07:31:19.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T07:31:19.665Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T07:31:19.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T07:31:19.665Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51964.613 ms) ======
[2026-02-27T07:31:23.473Z] -----------------------------------
[2026-02-27T07:31:23.473Z] renaissance-movie-lens_0_PASSED
[2026-02-27T07:31:23.473Z] -----------------------------------
[2026-02-27T07:31:23.473Z]
[2026-02-27T07:31:23.473Z] TEST TEARDOWN:
[2026-02-27T07:31:23.473Z] Nothing to be done for teardown.
[2026-02-27T07:31:23.473Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 07:31:23 2026 Epoch Time (ms): 1772177483294