renaissance-movie-lens_0
[2026-02-06T00:01:48.593Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T00:01:48.593Z] ===============================================
[2026-02-06T00:01:48.593Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 19:01:46 2026 Epoch Time (ms): 1770336106869
[2026-02-06T00:01:48.593Z] variation: NoOptions
[2026-02-06T00:01:48.593Z] JVM_OPTIONS:
[2026-02-06T00:01:48.593Z] { \
[2026-02-06T00:01:48.593Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T00:01:48.593Z] echo "Nothing to be done for setup."; \
[2026-02-06T00:01:48.593Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703332002324/renaissance-movie-lens_0"; \
[2026-02-06T00:01:48.593Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703332002324/renaissance-movie-lens_0"; \
[2026-02-06T00:01:48.593Z] echo ""; echo "TESTING:"; \
[2026-02-06T00:01:48.593Z] "/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_17703332002324/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T00:01:48.593Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703332002324/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T00:01:48.593Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T00:01:48.593Z] echo "Nothing to be done for teardown."; \
[2026-02-06T00:01:48.593Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703332002324/TestTargetResult";
[2026-02-06T00:01:48.593Z]
[2026-02-06T00:01:48.593Z] TEST SETUP:
[2026-02-06T00:01:48.593Z] Nothing to be done for setup.
[2026-02-06T00:01:48.593Z]
[2026-02-06T00:01:48.593Z] TESTING:
[2026-02-06T00:01:50.587Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-06T00:01:50.587Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17703332002324/renaissance-movie-lens_0/launcher-190148-13687658119167029351/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-06T00:01:50.587Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-06T00:01:50.587Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-06T00:02:12.803Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-06T00:02:39.047Z] 19:02:37.197 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-06T00:02:45.669Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T00:02:48.238Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T00:02:48.238Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T00:02:48.852Z] GC before operation: completed in 380.299 ms, heap usage 857.291 MB -> 76.007 MB.
[2026-02-06T00:03:20.583Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:03:36.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:03:58.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:04:14.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:04:22.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:04:29.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:04:37.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:04:44.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:04:46.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:04:46.956Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:04:47.941Z] Top recommended movies for user id 72:
[2026-02-06T00:04:47.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:04:47.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:04:47.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:04:47.941Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:04:47.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:04:47.941Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (119109.746 ms) ======
[2026-02-06T00:04:47.941Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T00:04:48.614Z] GC before operation: completed in 425.043 ms, heap usage 401.004 MB -> 87.454 MB.
[2026-02-06T00:05:07.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:05:20.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:05:31.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:05:44.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:05:48.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:05:56.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:06:05.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:06:16.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:06:16.509Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:06:16.509Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:06:18.241Z] Top recommended movies for user id 72:
[2026-02-06T00:06:18.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:06:18.241Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:06:18.241Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:06:18.241Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:06:18.241Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:06:18.241Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (89713.050 ms) ======
[2026-02-06T00:06:18.241Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T00:06:18.241Z] GC before operation: completed in 384.483 ms, heap usage 1.043 GB -> 92.604 MB.
[2026-02-06T00:06:34.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:06:50.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:07:06.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:07:20.003Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:07:29.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:07:34.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:07:40.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:07:48.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:07:48.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:07:48.851Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:07:48.851Z] Top recommended movies for user id 72:
[2026-02-06T00:07:48.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:07:48.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:07:48.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:07:48.851Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:07:48.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:07:48.851Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (90710.984 ms) ======
[2026-02-06T00:07:48.851Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T00:07:49.436Z] GC before operation: completed in 365.534 ms, heap usage 836.352 MB -> 92.473 MB.
[2026-02-06T00:08:04.890Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:08:20.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:08:32.042Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:08:45.272Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:08:51.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:08:57.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:09:05.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:09:14.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:09:14.589Z] 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.
[2026-02-06T00:09:14.589Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:09:15.033Z] Top recommended movies for user id 72:
[2026-02-06T00:09:15.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:09:15.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:09:15.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:09:15.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:09:15.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:09:15.033Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (85684.278 ms) ======
[2026-02-06T00:09:15.033Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T00:09:15.579Z] GC before operation: completed in 350.409 ms, heap usage 368.466 MB -> 88.720 MB.
[2026-02-06T00:09:33.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:09:47.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:10:01.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:10:14.051Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:10:23.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:10:29.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:10:36.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:10:42.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:10:43.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:10:43.287Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:10:44.504Z] Top recommended movies for user id 72:
[2026-02-06T00:10:44.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:10:44.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:10:44.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:10:44.504Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:10:44.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:10:44.504Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (89055.427 ms) ======
[2026-02-06T00:10:44.504Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T00:10:45.018Z] GC before operation: completed in 599.238 ms, heap usage 162.898 MB -> 89.199 MB.
[2026-02-06T00:10:57.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:11:13.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:11:29.438Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:11:45.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:11:53.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:12:01.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:12:10.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:12:18.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:12:18.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:12:18.637Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:12:19.083Z] Top recommended movies for user id 72:
[2026-02-06T00:12:19.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:12:19.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:12:19.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:12:19.083Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:12:19.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:12:19.083Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (94120.992 ms) ======
[2026-02-06T00:12:19.083Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T00:12:19.575Z] GC before operation: completed in 380.325 ms, heap usage 1.316 GB -> 94.824 MB.
[2026-02-06T00:12:35.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:12:51.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:13:01.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:13:12.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:13:21.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:13:29.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:13:36.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:13:44.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:13:45.164Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:13:45.164Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:13:45.646Z] Top recommended movies for user id 72:
[2026-02-06T00:13:45.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:13:45.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:13:45.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:13:45.646Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:13:45.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:13:45.646Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (86157.825 ms) ======
[2026-02-06T00:13:45.646Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T00:13:46.160Z] GC before operation: completed in 377.850 ms, heap usage 783.200 MB -> 93.037 MB.
[2026-02-06T00:14:02.205Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:14:15.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:14:31.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:14:44.660Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:14:52.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:15:01.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:15:08.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:15:17.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:15:17.776Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:15:17.776Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:15:18.235Z] Top recommended movies for user id 72:
[2026-02-06T00:15:18.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:15:18.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:15:18.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:15:18.235Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:15:18.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:15:18.235Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (92101.313 ms) ======
[2026-02-06T00:15:18.235Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T00:15:18.813Z] GC before operation: completed in 299.143 ms, heap usage 176.992 MB -> 90.313 MB.
[2026-02-06T00:15:37.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:15:46.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:15:59.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:16:12.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:16:25.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:16:33.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:16:43.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:16:51.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:16:51.878Z] 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.
[2026-02-06T00:16:52.332Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:16:53.006Z] Top recommended movies for user id 72:
[2026-02-06T00:16:53.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:16:53.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:16:53.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:16:53.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:16:53.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:16:53.006Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (94194.708 ms) ======
[2026-02-06T00:16:53.006Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T00:16:54.062Z] GC before operation: completed in 1235.560 ms, heap usage 1.400 GB -> 94.695 MB.
[2026-02-06T00:17:06.953Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:17:17.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:17:28.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:17:41.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:17:49.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:17:57.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:18:05.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:18:12.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:18:14.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:18:14.379Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:18:14.832Z] Top recommended movies for user id 72:
[2026-02-06T00:18:14.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:18:14.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:18:14.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:18:14.832Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:18:14.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:18:14.832Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (80829.567 ms) ======
[2026-02-06T00:18:14.832Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T00:18:15.420Z] GC before operation: completed in 285.605 ms, heap usage 373.639 MB -> 89.245 MB.
[2026-02-06T00:18:26.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:18:38.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:18:54.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:19:08.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:19:16.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:19:24.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:19:32.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:19:40.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:19:41.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:19:41.698Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:19:41.698Z] Top recommended movies for user id 72:
[2026-02-06T00:19:41.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:19:41.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:19:41.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:19:41.698Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:19:41.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:19:41.698Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (86675.380 ms) ======
[2026-02-06T00:19:41.698Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T00:19:42.115Z] GC before operation: completed in 388.796 ms, heap usage 365.879 MB -> 88.946 MB.
[2026-02-06T00:19:57.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:20:08.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:20:23.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:20:33.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:20:41.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:20:49.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:20:57.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:21:03.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:21:04.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:21:04.199Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:21:04.742Z] Top recommended movies for user id 72:
[2026-02-06T00:21:04.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:21:04.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:21:04.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:21:04.742Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:21:04.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:21:04.742Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (82522.273 ms) ======
[2026-02-06T00:21:04.742Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T00:21:05.188Z] GC before operation: completed in 418.418 ms, heap usage 744.900 MB -> 93.068 MB.
[2026-02-06T00:21:20.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:21:29.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:21:45.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:21:58.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:22:08.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:22:16.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:22:24.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:22:32.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:22:32.997Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:22:33.472Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:22:34.165Z] Top recommended movies for user id 72:
[2026-02-06T00:22:34.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:22:34.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:22:34.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:22:34.165Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:22:34.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:22:34.165Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (88602.525 ms) ======
[2026-02-06T00:22:34.165Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T00:22:34.736Z] GC before operation: completed in 1135.402 ms, heap usage 147.725 MB -> 92.584 MB.
[2026-02-06T00:22:54.074Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:23:03.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:23:16.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:23:25.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:23:33.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:23:41.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:23:50.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:23:58.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:23:58.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:23:58.214Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:23:58.715Z] Top recommended movies for user id 72:
[2026-02-06T00:23:58.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:23:58.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:23:58.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:23:58.715Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:23:58.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:23:58.715Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (83826.296 ms) ======
[2026-02-06T00:23:58.715Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T00:23:59.924Z] GC before operation: completed in 1115.442 ms, heap usage 822.509 MB -> 93.145 MB.
[2026-02-06T00:24:12.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:24:25.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:24:37.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:24:52.829Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:24:58.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:25:05.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:25:13.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:25:21.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:25:21.020Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:25:21.020Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:25:21.677Z] Top recommended movies for user id 72:
[2026-02-06T00:25:21.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:25:21.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:25:21.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:25:21.677Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:25:21.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:25:21.677Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (81575.575 ms) ======
[2026-02-06T00:25:21.677Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T00:25:21.677Z] GC before operation: completed in 338.315 ms, heap usage 824.992 MB -> 93.461 MB.
[2026-02-06T00:25:37.734Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:25:57.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:26:12.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:26:21.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:26:29.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:26:35.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:26:44.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:26:53.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:26:53.796Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:26:54.292Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:26:54.292Z] Top recommended movies for user id 72:
[2026-02-06T00:26:54.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:26:54.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:26:54.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:26:54.292Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:26:54.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:26:54.292Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (92640.927 ms) ======
[2026-02-06T00:26:54.292Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T00:26:54.963Z] GC before operation: completed in 539.245 ms, heap usage 1.614 GB -> 95.294 MB.
[2026-02-06T00:27:13.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:27:24.793Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:27:35.499Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:27:48.570Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:27:55.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:28:04.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:28:12.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:28:25.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:28:25.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:28:26.444Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:28:26.444Z] Top recommended movies for user id 72:
[2026-02-06T00:28:26.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:28:26.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:28:26.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:28:26.444Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:28:26.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:28:26.444Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (91713.284 ms) ======
[2026-02-06T00:28:26.444Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T00:28:27.013Z] GC before operation: completed in 419.013 ms, heap usage 480.327 MB -> 89.370 MB.
[2026-02-06T00:28:43.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:28:56.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:29:09.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:29:20.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:29:28.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:29:36.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:29:43.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:29:52.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:29:53.507Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:29:53.507Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:29:54.119Z] Top recommended movies for user id 72:
[2026-02-06T00:29:54.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:29:54.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:29:54.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:29:54.119Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:29:54.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:29:54.119Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (87216.680 ms) ======
[2026-02-06T00:29:54.119Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T00:29:54.552Z] GC before operation: completed in 333.630 ms, heap usage 154.723 MB -> 90.122 MB.
[2026-02-06T00:30:13.139Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:30:26.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:30:40.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:30:54.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:31:03.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:31:11.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:31:19.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:31:24.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:31:26.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:31:26.016Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:31:26.016Z] Top recommended movies for user id 72:
[2026-02-06T00:31:26.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:31:26.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:31:26.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:31:26.016Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:31:26.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:31:26.016Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (91632.047 ms) ======
[2026-02-06T00:31:26.016Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T00:31:26.437Z] GC before operation: completed in 379.712 ms, heap usage 1016.304 MB -> 94.070 MB.
[2026-02-06T00:31:41.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T00:31:53.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T00:32:06.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T00:32:23.587Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T00:32:32.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T00:32:40.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T00:32:48.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T00:32:56.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T00:32:56.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T00:32:56.939Z] The best model improves the baseline by 14.52%.
[2026-02-06T00:32:57.382Z] Top recommended movies for user id 72:
[2026-02-06T00:32:57.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T00:32:57.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T00:32:57.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T00:32:57.383Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T00:32:57.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T00:32:57.383Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (90935.602 ms) ======
[2026-02-06T00:33:03.423Z] -----------------------------------
[2026-02-06T00:33:03.423Z] renaissance-movie-lens_0_PASSED
[2026-02-06T00:33:03.423Z] -----------------------------------
[2026-02-06T00:33:03.861Z]
[2026-02-06T00:33:03.861Z] TEST TEARDOWN:
[2026-02-06T00:33:03.861Z] Nothing to be done for teardown.
[2026-02-06T00:33:04.298Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 19:33:03 2026 Epoch Time (ms): 1770337983934