renaissance-movie-lens_0
[2026-01-24T12:48:43.291Z] Running test renaissance-movie-lens_0 ...
[2026-01-24T12:48:43.291Z] ===============================================
[2026-01-24T12:48:43.291Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 07:48:43 2026 Epoch Time (ms): 1769258923014
[2026-01-24T12:48:43.291Z] variation: NoOptions
[2026-01-24T12:48:43.291Z] JVM_OPTIONS:
[2026-01-24T12:48:43.291Z] { \
[2026-01-24T12:48:43.291Z] echo ""; echo "TEST SETUP:"; \
[2026-01-24T12:48:43.291Z] echo "Nothing to be done for setup."; \
[2026-01-24T12:48:43.291Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692585538532/renaissance-movie-lens_0"; \
[2026-01-24T12:48:43.291Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692585538532/renaissance-movie-lens_0"; \
[2026-01-24T12:48:43.291Z] echo ""; echo "TESTING:"; \
[2026-01-24T12:48:43.291Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692585538532/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-24T12:48:43.291Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692585538532/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-24T12:48:43.291Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-24T12:48:43.291Z] echo "Nothing to be done for teardown."; \
[2026-01-24T12:48:43.291Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692585538532/TestTargetResult";
[2026-01-24T12:48:43.291Z]
[2026-01-24T12:48:43.291Z] TEST SETUP:
[2026-01-24T12:48:43.291Z] Nothing to be done for setup.
[2026-01-24T12:48:43.291Z]
[2026-01-24T12:48:43.291Z] TESTING:
[2026-01-24T12:48:43.643Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-24T12:48:43.643Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17692585538532/renaissance-movie-lens_0/launcher-074843-5380674148426555973/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-24T12:48:43.643Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-24T12:48:43.643Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-24T12:48:47.618Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-24T12:48:51.584Z] 07:48:51.190 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-24T12:48:52.811Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-24T12:48:52.811Z] Training: 60056, validation: 20285, test: 19854
[2026-01-24T12:48:52.811Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-24T12:48:52.811Z] GC before operation: completed in 85.360 ms, heap usage 529.035 MB -> 75.952 MB.
[2026-01-24T12:48:56.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:48:59.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:49:01.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:49:02.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:49:04.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:49:05.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:49:06.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:49:08.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:49:08.052Z] 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.
[2026-01-24T12:49:08.052Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:49:08.439Z] Top recommended movies for user id 72:
[2026-01-24T12:49:08.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:49:08.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:49:08.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:49:08.439Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:49:08.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:49:08.439Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15423.693 ms) ======
[2026-01-24T12:49:08.439Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-24T12:49:08.439Z] GC before operation: completed in 99.157 ms, heap usage 266.116 MB -> 87.780 MB.
[2026-01-24T12:49:10.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:49:12.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:49:15.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:49:16.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:49:18.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:49:19.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:49:20.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:49:22.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:49:22.380Z] 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.
[2026-01-24T12:49:22.380Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:49:22.380Z] Top recommended movies for user id 72:
[2026-01-24T12:49:22.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:49:22.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:49:22.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:49:22.380Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:49:22.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:49:22.380Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14008.020 ms) ======
[2026-01-24T12:49:22.380Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-24T12:49:22.380Z] GC before operation: completed in 71.256 ms, heap usage 271.921 MB -> 88.633 MB.
[2026-01-24T12:49:24.808Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:49:26.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:49:28.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:49:30.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:49:31.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:49:32.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:49:34.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:49:34.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:49:35.176Z] 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.
[2026-01-24T12:49:35.176Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:49:35.176Z] Top recommended movies for user id 72:
[2026-01-24T12:49:35.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:49:35.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:49:35.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:49:35.176Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:49:35.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:49:35.176Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12726.817 ms) ======
[2026-01-24T12:49:35.176Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-24T12:49:35.176Z] GC before operation: completed in 73.534 ms, heap usage 470.156 MB -> 89.636 MB.
[2026-01-24T12:49:36.960Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:49:38.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:49:40.506Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:49:42.278Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:49:43.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:49:44.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:49:45.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:49:46.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:49:47.097Z] 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.
[2026-01-24T12:49:47.097Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:49:47.097Z] Top recommended movies for user id 72:
[2026-01-24T12:49:47.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:49:47.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:49:47.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:49:47.097Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:49:47.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:49:47.097Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11899.037 ms) ======
[2026-01-24T12:49:47.097Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-24T12:49:47.097Z] GC before operation: completed in 64.976 ms, heap usage 201.721 MB -> 89.439 MB.
[2026-01-24T12:49:49.499Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:49:50.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:49:52.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:49:54.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:49:55.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:49:56.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:49:57.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:49:58.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:49:59.269Z] 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.
[2026-01-24T12:49:59.269Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:49:59.269Z] Top recommended movies for user id 72:
[2026-01-24T12:49:59.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:49:59.269Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:49:59.269Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:49:59.269Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:49:59.269Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:49:59.269Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12032.401 ms) ======
[2026-01-24T12:49:59.269Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-24T12:49:59.269Z] GC before operation: completed in 76.237 ms, heap usage 388.391 MB -> 89.724 MB.
[2026-01-24T12:50:01.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:50:03.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:50:05.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:50:06.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:50:07.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:50:09.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:50:09.907Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:50:11.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:50:11.210Z] 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.
[2026-01-24T12:50:11.569Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:50:11.569Z] Top recommended movies for user id 72:
[2026-01-24T12:50:11.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:50:11.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:50:11.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:50:11.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:50:11.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:50:11.569Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12147.224 ms) ======
[2026-01-24T12:50:11.569Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-24T12:50:11.569Z] GC before operation: completed in 75.792 ms, heap usage 541.552 MB -> 93.530 MB.
[2026-01-24T12:50:13.366Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:50:15.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:50:16.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:50:18.694Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:50:19.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:50:21.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:50:22.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:50:23.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:50:23.589Z] 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.
[2026-01-24T12:50:23.589Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:50:23.589Z] Top recommended movies for user id 72:
[2026-01-24T12:50:23.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:50:23.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:50:23.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:50:23.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:50:23.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:50:23.589Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12020.699 ms) ======
[2026-01-24T12:50:23.589Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-24T12:50:23.589Z] GC before operation: completed in 76.305 ms, heap usage 423.224 MB -> 90.169 MB.
[2026-01-24T12:50:25.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:50:27.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:50:29.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:50:31.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:50:32.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:50:33.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:50:34.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:50:35.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:50:35.744Z] 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.
[2026-01-24T12:50:35.744Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:50:35.744Z] Top recommended movies for user id 72:
[2026-01-24T12:50:35.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:50:35.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:50:35.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:50:35.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:50:35.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:50:35.744Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12198.825 ms) ======
[2026-01-24T12:50:35.744Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-24T12:50:36.096Z] GC before operation: completed in 67.060 ms, heap usage 105.286 MB -> 89.872 MB.
[2026-01-24T12:50:37.881Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:50:39.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:50:41.530Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:50:42.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:50:44.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:50:44.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:50:45.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:50:47.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:50:47.232Z] 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.
[2026-01-24T12:50:47.232Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:50:47.232Z] Top recommended movies for user id 72:
[2026-01-24T12:50:47.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:50:47.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:50:47.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:50:47.232Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:50:47.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:50:47.232Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11393.484 ms) ======
[2026-01-24T12:50:47.232Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-24T12:50:47.232Z] GC before operation: completed in 72.358 ms, heap usage 240.237 MB -> 89.884 MB.
[2026-01-24T12:50:49.623Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:50:50.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:50:52.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:50:54.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:50:55.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:50:56.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:50:57.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:50:58.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:50:58.467Z] 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.
[2026-01-24T12:50:58.467Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:50:58.821Z] Top recommended movies for user id 72:
[2026-01-24T12:50:58.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:50:58.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:50:58.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:50:58.821Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:50:58.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:50:58.821Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11306.397 ms) ======
[2026-01-24T12:50:58.821Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-24T12:50:58.821Z] GC before operation: completed in 62.487 ms, heap usage 274.357 MB -> 90.136 MB.
[2026-01-24T12:51:00.637Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:51:02.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:51:04.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:51:06.097Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:51:07.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:51:08.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:51:09.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:51:10.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:51:10.655Z] 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.
[2026-01-24T12:51:11.030Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:51:11.030Z] Top recommended movies for user id 72:
[2026-01-24T12:51:11.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:51:11.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:51:11.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:51:11.030Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:51:11.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:51:11.030Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12149.919 ms) ======
[2026-01-24T12:51:11.030Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-24T12:51:11.030Z] GC before operation: completed in 81.585 ms, heap usage 98.890 MB -> 89.677 MB.
[2026-01-24T12:51:12.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:51:15.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:51:16.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:51:18.216Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:51:19.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:51:20.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:51:21.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:51:22.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:51:22.703Z] 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.
[2026-01-24T12:51:22.703Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:51:23.065Z] Top recommended movies for user id 72:
[2026-01-24T12:51:23.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:51:23.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:51:23.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:51:23.065Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:51:23.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:51:23.065Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11953.915 ms) ======
[2026-01-24T12:51:23.065Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-24T12:51:23.065Z] GC before operation: completed in 61.839 ms, heap usage 101.049 MB -> 89.926 MB.
[2026-01-24T12:51:24.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:51:26.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:51:28.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:51:30.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:51:31.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:51:32.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:51:33.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:51:34.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:51:34.725Z] 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.
[2026-01-24T12:51:34.725Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:51:34.725Z] Top recommended movies for user id 72:
[2026-01-24T12:51:34.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:51:34.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:51:34.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:51:34.725Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:51:34.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:51:34.725Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11645.192 ms) ======
[2026-01-24T12:51:34.725Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-24T12:51:34.725Z] GC before operation: completed in 76.359 ms, heap usage 136.736 MB -> 90.079 MB.
[2026-01-24T12:51:36.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:51:38.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:51:40.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:51:41.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:51:42.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:51:43.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:51:44.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:51:45.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:51:45.785Z] 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.
[2026-01-24T12:51:45.785Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:51:46.139Z] Top recommended movies for user id 72:
[2026-01-24T12:51:46.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:51:46.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:51:46.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:51:46.139Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:51:46.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:51:46.139Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11267.553 ms) ======
[2026-01-24T12:51:46.139Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-24T12:51:46.139Z] GC before operation: completed in 71.847 ms, heap usage 378.630 MB -> 90.107 MB.
[2026-01-24T12:51:47.929Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:51:49.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:51:52.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:51:53.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:51:54.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:51:55.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:51:56.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:51:57.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:51:57.835Z] 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.
[2026-01-24T12:51:57.835Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:51:57.835Z] Top recommended movies for user id 72:
[2026-01-24T12:51:57.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:51:57.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:51:57.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:51:57.835Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:51:57.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:51:57.835Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11766.942 ms) ======
[2026-01-24T12:51:57.835Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-24T12:51:57.835Z] GC before operation: completed in 66.718 ms, heap usage 205.256 MB -> 90.123 MB.
[2026-01-24T12:51:59.615Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:52:01.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:52:03.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:52:05.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:52:05.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:52:07.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:52:08.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:52:09.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:52:09.186Z] 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.
[2026-01-24T12:52:09.186Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:52:09.541Z] Top recommended movies for user id 72:
[2026-01-24T12:52:09.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:52:09.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:52:09.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:52:09.541Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:52:09.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:52:09.541Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11497.851 ms) ======
[2026-01-24T12:52:09.541Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-24T12:52:09.541Z] GC before operation: completed in 75.515 ms, heap usage 259.092 MB -> 90.092 MB.
[2026-01-24T12:52:11.353Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:52:13.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:52:14.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:52:16.710Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:52:17.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:52:18.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:52:19.453Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:52:20.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:52:20.710Z] 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.
[2026-01-24T12:52:20.710Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:52:21.062Z] Top recommended movies for user id 72:
[2026-01-24T12:52:21.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:52:21.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:52:21.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:52:21.062Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:52:21.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:52:21.062Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11394.715 ms) ======
[2026-01-24T12:52:21.062Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-24T12:52:21.062Z] GC before operation: completed in 79.552 ms, heap usage 157.139 MB -> 90.095 MB.
[2026-01-24T12:52:22.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:52:24.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:52:26.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:52:27.596Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:52:28.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:52:30.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:52:30.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:52:32.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:52:32.084Z] 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.
[2026-01-24T12:52:32.084Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:52:32.084Z] Top recommended movies for user id 72:
[2026-01-24T12:52:32.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:52:32.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:52:32.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:52:32.084Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:52:32.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:52:32.084Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11182.050 ms) ======
[2026-01-24T12:52:32.084Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-24T12:52:32.084Z] GC before operation: completed in 82.622 ms, heap usage 433.376 MB -> 90.325 MB.
[2026-01-24T12:52:33.882Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:52:35.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:52:37.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:52:39.234Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:52:40.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:52:41.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:52:42.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:52:43.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:52:43.641Z] 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.
[2026-01-24T12:52:43.641Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:52:43.641Z] Top recommended movies for user id 72:
[2026-01-24T12:52:43.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:52:43.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:52:43.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:52:43.641Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:52:43.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:52:43.641Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11392.480 ms) ======
[2026-01-24T12:52:43.641Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-24T12:52:43.641Z] GC before operation: completed in 79.293 ms, heap usage 264.060 MB -> 91.447 MB.
[2026-01-24T12:52:45.404Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T12:52:47.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T12:52:49.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T12:52:50.857Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T12:52:52.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T12:52:53.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T12:52:54.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T12:52:55.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T12:52:55.372Z] 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.
[2026-01-24T12:52:55.372Z] The best model improves the baseline by 14.52%.
[2026-01-24T12:52:55.372Z] Top recommended movies for user id 72:
[2026-01-24T12:52:55.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T12:52:55.372Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T12:52:55.372Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T12:52:55.372Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T12:52:55.372Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T12:52:55.372Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11756.478 ms) ======
[2026-01-24T12:52:56.129Z] -----------------------------------
[2026-01-24T12:52:56.129Z] renaissance-movie-lens_0_PASSED
[2026-01-24T12:52:56.129Z] -----------------------------------
[2026-01-24T12:52:56.129Z]
[2026-01-24T12:52:56.129Z] TEST TEARDOWN:
[2026-01-24T12:52:56.129Z] Nothing to be done for teardown.
[2026-01-24T12:52:56.129Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 07:52:55 2026 Epoch Time (ms): 1769259175799