renaissance-movie-lens_0
[2026-03-06T05:21:10.952Z] Running test renaissance-movie-lens_0 ...
[2026-03-06T05:21:10.952Z] ===============================================
[2026-03-06T05:21:10.952Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 00:21:10 2026 Epoch Time (ms): 1772774470634
[2026-03-06T05:21:10.952Z] variation: NoOptions
[2026-03-06T05:21:10.952Z] JVM_OPTIONS:
[2026-03-06T05:21:10.952Z] { \
[2026-03-06T05:21:10.952Z] echo ""; echo "TEST SETUP:"; \
[2026-03-06T05:21:10.952Z] echo "Nothing to be done for setup."; \
[2026-03-06T05:21:10.952Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17727716426147/renaissance-movie-lens_0"; \
[2026-03-06T05:21:10.952Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17727716426147/renaissance-movie-lens_0"; \
[2026-03-06T05:21:10.952Z] echo ""; echo "TESTING:"; \
[2026-03-06T05:21:10.952Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17727716426147/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-06T05:21:10.952Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17727716426147/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-06T05:21:10.952Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-06T05:21:10.952Z] echo "Nothing to be done for teardown."; \
[2026-03-06T05:21:10.952Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17727716426147/TestTargetResult";
[2026-03-06T05:21:11.473Z]
[2026-03-06T05:21:11.473Z] TEST SETUP:
[2026-03-06T05:21:11.473Z] Nothing to be done for setup.
[2026-03-06T05:21:11.473Z]
[2026-03-06T05:21:11.473Z] TESTING:
[2026-03-06T05:21:14.127Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-06T05:21:14.127Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17727716426147/renaissance-movie-lens_0/launcher-002112-2660501580297731243/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-06T05:21:14.127Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-06T05:21:14.127Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-06T05:21:32.752Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-06T05:21:58.754Z] 00:21:56.701 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-06T05:22:04.478Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-06T05:22:06.256Z] Training: 60056, validation: 20285, test: 19854
[2026-03-06T05:22:06.256Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-06T05:22:06.256Z] GC before operation: completed in 277.070 ms, heap usage 435.479 MB -> 74.978 MB.
[2026-03-06T05:22:38.448Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:22:55.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:23:11.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:23:24.580Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:23:33.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:23:42.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:23:51.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:23:59.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:23:59.169Z] 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.
[2026-03-06T05:23:59.169Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:24:00.183Z] Top recommended movies for user id 72:
[2026-03-06T05:24:00.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:24:00.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:24:00.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:24:00.183Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:24:00.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:24:00.183Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (113600.854 ms) ======
[2026-03-06T05:24:00.183Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-06T05:24:00.183Z] GC before operation: completed in 313.747 ms, heap usage 264.326 MB -> 91.675 MB.
[2026-03-06T05:24:15.693Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:24:23.388Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:24:33.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:24:44.025Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:24:49.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:24:57.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:25:03.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:25:08.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:25:09.468Z] 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.
[2026-03-06T05:25:09.929Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:25:09.929Z] Top recommended movies for user id 72:
[2026-03-06T05:25:09.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:25:09.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:25:09.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:25:09.929Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:25:09.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:25:09.929Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (69656.070 ms) ======
[2026-03-06T05:25:09.929Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-06T05:25:10.412Z] GC before operation: completed in 207.433 ms, heap usage 352.734 MB -> 87.772 MB.
[2026-03-06T05:25:23.568Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:25:34.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:25:42.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:25:48.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:25:54.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:25:58.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:26:04.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:26:08.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:26:09.330Z] 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.
[2026-03-06T05:26:09.891Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:26:11.024Z] Top recommended movies for user id 72:
[2026-03-06T05:26:11.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:26:11.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:26:11.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:26:11.024Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:26:11.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:26:11.024Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (60694.033 ms) ======
[2026-03-06T05:26:11.024Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-06T05:26:11.024Z] GC before operation: completed in 323.533 ms, heap usage 431.795 MB -> 88.572 MB.
[2026-03-06T05:26:21.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:26:32.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:26:42.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:26:51.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:26:59.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:27:04.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:27:11.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:27:17.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:27:17.402Z] 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.
[2026-03-06T05:27:17.851Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:27:17.851Z] Top recommended movies for user id 72:
[2026-03-06T05:27:17.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:27:17.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:27:17.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:27:17.851Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:27:17.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:27:17.851Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (66781.390 ms) ======
[2026-03-06T05:27:17.851Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-06T05:27:18.324Z] GC before operation: completed in 216.376 ms, heap usage 418.970 MB -> 88.873 MB.
[2026-03-06T05:27:29.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:27:39.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:27:50.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:27:59.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:28:06.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:28:11.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:28:19.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:28:23.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:28:24.988Z] 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.
[2026-03-06T05:28:24.988Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:28:25.400Z] Top recommended movies for user id 72:
[2026-03-06T05:28:25.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:28:25.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:28:25.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:28:25.401Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:28:25.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:28:25.401Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (67036.284 ms) ======
[2026-03-06T05:28:25.401Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-06T05:28:25.401Z] GC before operation: completed in 204.621 ms, heap usage 322.815 MB -> 88.619 MB.
[2026-03-06T05:28:35.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:28:43.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:28:58.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:29:07.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:29:15.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:29:23.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:29:32.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:29:41.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:29:41.501Z] 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.
[2026-03-06T05:29:42.075Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:29:42.574Z] Top recommended movies for user id 72:
[2026-03-06T05:29:42.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:29:42.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:29:42.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:29:42.574Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:29:42.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:29:42.574Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (76869.174 ms) ======
[2026-03-06T05:29:42.574Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-06T05:29:42.574Z] GC before operation: completed in 340.232 ms, heap usage 353.388 MB -> 89.169 MB.
[2026-03-06T05:29:55.578Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:30:08.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:30:22.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:30:35.317Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:30:44.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:30:51.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:31:01.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:31:12.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:31:14.712Z] 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.
[2026-03-06T05:31:14.712Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:31:14.712Z] Top recommended movies for user id 72:
[2026-03-06T05:31:14.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:31:14.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:31:14.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:31:14.712Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:31:14.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:31:14.712Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (92225.287 ms) ======
[2026-03-06T05:31:14.712Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-06T05:31:15.231Z] GC before operation: completed in 405.276 ms, heap usage 290.232 MB -> 88.862 MB.
[2026-03-06T05:31:33.706Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:31:49.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:32:03.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:32:17.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:32:26.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:32:34.874Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:32:43.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:32:51.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:32:52.466Z] 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.
[2026-03-06T05:32:52.466Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:32:52.466Z] Top recommended movies for user id 72:
[2026-03-06T05:32:52.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:32:52.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:32:52.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:32:52.466Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:32:52.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:32:52.466Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (97201.322 ms) ======
[2026-03-06T05:32:52.466Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-06T05:32:53.032Z] GC before operation: completed in 417.722 ms, heap usage 773.179 MB -> 92.963 MB.
[2026-03-06T05:33:11.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:33:23.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:33:36.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:33:49.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:34:00.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:34:08.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:34:17.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:34:29.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:34:29.227Z] 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.
[2026-03-06T05:34:29.227Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:34:30.209Z] Top recommended movies for user id 72:
[2026-03-06T05:34:30.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:34:30.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:34:30.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:34:30.209Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:34:30.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:34:30.209Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (97237.404 ms) ======
[2026-03-06T05:34:30.209Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-06T05:34:30.209Z] GC before operation: completed in 275.992 ms, heap usage 342.341 MB -> 89.233 MB.
[2026-03-06T05:34:46.214Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:35:05.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:35:23.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:35:32.402Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:35:43.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:35:53.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:36:02.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:36:14.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:36:14.339Z] 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.
[2026-03-06T05:36:14.339Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:36:14.339Z] Top recommended movies for user id 72:
[2026-03-06T05:36:14.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:36:14.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:36:14.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:36:14.339Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:36:14.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:36:14.339Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (103950.027 ms) ======
[2026-03-06T05:36:14.339Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-06T05:36:14.972Z] GC before operation: completed in 403.613 ms, heap usage 656.996 MB -> 92.961 MB.
[2026-03-06T05:36:33.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:36:49.639Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:37:05.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:37:16.730Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:37:24.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:37:32.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:37:38.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:37:46.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:37:46.729Z] 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.
[2026-03-06T05:37:46.729Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:37:46.729Z] Top recommended movies for user id 72:
[2026-03-06T05:37:46.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:37:46.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:37:46.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:37:46.729Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:37:46.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:37:46.729Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (92141.306 ms) ======
[2026-03-06T05:37:46.729Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-06T05:37:47.162Z] GC before operation: completed in 398.823 ms, heap usage 761.721 MB -> 92.939 MB.
[2026-03-06T05:38:02.274Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:38:17.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:38:31.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:38:44.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:38:53.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:39:00.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:39:06.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:39:13.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:39:14.215Z] 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.
[2026-03-06T05:39:14.215Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:39:15.112Z] Top recommended movies for user id 72:
[2026-03-06T05:39:15.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:39:15.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:39:15.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:39:15.112Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:39:15.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:39:15.112Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (87890.301 ms) ======
[2026-03-06T05:39:15.112Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-06T05:39:15.559Z] GC before operation: completed in 313.515 ms, heap usage 1.174 GB -> 94.881 MB.
[2026-03-06T05:39:28.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:39:43.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:39:52.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:40:04.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:40:12.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:40:19.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:40:26.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:40:32.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:40:32.613Z] 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.
[2026-03-06T05:40:32.613Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:40:33.059Z] Top recommended movies for user id 72:
[2026-03-06T05:40:33.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:40:33.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:40:33.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:40:33.059Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:40:33.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:40:33.059Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (77477.096 ms) ======
[2026-03-06T05:40:33.059Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-06T05:40:33.591Z] GC before operation: completed in 379.533 ms, heap usage 1.229 GB -> 95.080 MB.
[2026-03-06T05:40:44.781Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:41:00.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:41:11.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:41:26.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:41:35.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:41:43.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:41:52.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:42:01.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:42:01.860Z] 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.
[2026-03-06T05:42:01.861Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:42:03.001Z] Top recommended movies for user id 72:
[2026-03-06T05:42:03.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:42:03.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:42:03.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:42:03.001Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:42:03.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:42:03.001Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (89491.667 ms) ======
[2026-03-06T05:42:03.001Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-06T05:42:03.001Z] GC before operation: completed in 323.955 ms, heap usage 346.588 MB -> 89.367 MB.
[2026-03-06T05:42:15.987Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:42:31.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:42:42.496Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:42:55.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:43:04.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:43:13.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:43:23.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:43:31.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:43:31.878Z] 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.
[2026-03-06T05:43:31.878Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:43:32.912Z] Top recommended movies for user id 72:
[2026-03-06T05:43:32.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:43:32.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:43:32.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:43:32.913Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:43:32.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:43:32.913Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (89448.281 ms) ======
[2026-03-06T05:43:32.913Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-06T05:43:32.913Z] GC before operation: completed in 377.219 ms, heap usage 193.746 MB -> 89.333 MB.
[2026-03-06T05:43:48.862Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:44:02.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:44:13.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:44:26.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:44:32.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:44:41.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:44:50.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:44:59.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:44:59.628Z] 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.
[2026-03-06T05:44:59.629Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:45:00.646Z] Top recommended movies for user id 72:
[2026-03-06T05:45:00.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:45:00.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:45:00.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:45:00.646Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:45:00.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:45:00.646Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (87249.515 ms) ======
[2026-03-06T05:45:00.646Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-06T05:45:01.173Z] GC before operation: completed in 828.252 ms, heap usage 1021.328 MB -> 93.962 MB.
[2026-03-06T05:45:13.798Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:45:27.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:45:38.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:45:53.775Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:46:00.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:46:06.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:46:13.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:46:20.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:46:20.483Z] 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.
[2026-03-06T05:46:20.483Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:46:21.563Z] Top recommended movies for user id 72:
[2026-03-06T05:46:21.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:46:21.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:46:21.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:46:21.563Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:46:21.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:46:21.563Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (80030.730 ms) ======
[2026-03-06T05:46:21.563Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-06T05:46:21.563Z] GC before operation: completed in 465.804 ms, heap usage 1.616 GB -> 95.482 MB.
[2026-03-06T05:46:36.862Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:46:47.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:47:00.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:47:14.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:47:22.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:47:30.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:47:36.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:47:44.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:47:45.093Z] 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.
[2026-03-06T05:47:45.093Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:47:45.561Z] Top recommended movies for user id 72:
[2026-03-06T05:47:45.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:47:45.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:47:45.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:47:45.562Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:47:45.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:47:45.562Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (83696.604 ms) ======
[2026-03-06T05:47:45.562Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-06T05:47:45.562Z] GC before operation: completed in 412.680 ms, heap usage 376.586 MB -> 89.303 MB.
[2026-03-06T05:48:01.776Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:48:15.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:48:28.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:48:39.934Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:48:46.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:48:52.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:48:59.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:49:04.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:49:06.079Z] 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.
[2026-03-06T05:49:06.079Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:49:06.481Z] Top recommended movies for user id 72:
[2026-03-06T05:49:06.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:49:06.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:49:06.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:49:06.481Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:49:06.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:49:06.481Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (80628.593 ms) ======
[2026-03-06T05:49:06.481Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-06T05:49:06.481Z] GC before operation: completed in 276.967 ms, heap usage 320.632 MB -> 89.299 MB.
[2026-03-06T05:49:19.405Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T05:49:38.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T05:49:50.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T05:50:03.560Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T05:50:10.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T05:50:16.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T05:50:24.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T05:50:32.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T05:50:32.857Z] 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.
[2026-03-06T05:50:32.857Z] The best model improves the baseline by 14.52%.
[2026-03-06T05:50:33.506Z] Top recommended movies for user id 72:
[2026-03-06T05:50:33.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T05:50:33.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T05:50:33.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T05:50:33.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T05:50:33.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T05:50:33.506Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (87027.193 ms) ======
[2026-03-06T05:50:39.553Z] -----------------------------------
[2026-03-06T05:50:39.553Z] renaissance-movie-lens_0_PASSED
[2026-03-06T05:50:39.553Z] -----------------------------------
[2026-03-06T05:50:39.553Z]
[2026-03-06T05:50:39.553Z] TEST TEARDOWN:
[2026-03-06T05:50:39.553Z] Nothing to be done for teardown.
[2026-03-06T05:50:40.465Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 00:50:39 2026 Epoch Time (ms): 1772776240084