renaissance-movie-lens_0
[2026-02-27T15:13:47.199Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T15:13:47.199Z] ===============================================
[2026-02-27T15:13:47.199Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 10:13:46 2026 Epoch Time (ms): 1772205226416
[2026-02-27T15:13:47.199Z] variation: NoOptions
[2026-02-27T15:13:47.199Z] JVM_OPTIONS:
[2026-02-27T15:13:47.199Z] { \
[2026-02-27T15:13:47.199Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T15:13:47.199Z] echo "Nothing to be done for setup."; \
[2026-02-27T15:13:47.199Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17722020546506/renaissance-movie-lens_0"; \
[2026-02-27T15:13:47.199Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17722020546506/renaissance-movie-lens_0"; \
[2026-02-27T15:13:47.199Z] echo ""; echo "TESTING:"; \
[2026-02-27T15:13:47.199Z] "/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_17722020546506/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-27T15:13:47.199Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17722020546506/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T15:13:47.199Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T15:13:47.199Z] echo "Nothing to be done for teardown."; \
[2026-02-27T15:13:47.199Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17722020546506/TestTargetResult";
[2026-02-27T15:13:47.199Z]
[2026-02-27T15:13:47.199Z] TEST SETUP:
[2026-02-27T15:13:47.199Z] Nothing to be done for setup.
[2026-02-27T15:13:47.199Z]
[2026-02-27T15:13:47.199Z] TESTING:
[2026-02-27T15:13:49.619Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T15:13:49.619Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17722020546506/renaissance-movie-lens_0/launcher-101347-11226576303896172638/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T15:13:49.619Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T15:13:49.619Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T15:14:07.663Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T15:14:33.542Z] 10:14:31.947 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.
[2026-02-27T15:14:41.627Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T15:14:42.112Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T15:14:42.112Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T15:14:43.311Z] GC before operation: completed in 1041.347 ms, heap usage 497.069 MB -> 74.899 MB.
[2026-02-27T15:15:15.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:15:37.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:15:56.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:16:11.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:16:20.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:16:28.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:16:38.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:16:48.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:16:48.507Z] 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.
[2026-02-27T15:16:49.039Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:16:50.293Z] Top recommended movies for user id 72:
[2026-02-27T15:16:50.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:16:50.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:16:50.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:16:50.293Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:16:50.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:16:50.293Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (126894.378 ms) ======
[2026-02-27T15:16:50.293Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T15:16:50.293Z] GC before operation: completed in 419.901 ms, heap usage 1.064 GB -> 96.360 MB.
[2026-02-27T15:17:12.410Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:17:30.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:17:49.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:18:04.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:18:10.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:18:20.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:18:30.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:18:37.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:18:38.841Z] 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.
[2026-02-27T15:18:38.841Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:18:39.504Z] Top recommended movies for user id 72:
[2026-02-27T15:18:39.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:18:39.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:18:39.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:18:39.504Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:18:39.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:18:39.504Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (108596.110 ms) ======
[2026-02-27T15:18:39.504Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T15:18:40.626Z] GC before operation: completed in 1184.099 ms, heap usage 1.178 GB -> 93.118 MB.
[2026-02-27T15:19:00.008Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:19:22.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:19:36.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:19:50.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:19:58.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:20:08.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:20:17.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:20:25.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:20:28.833Z] 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.
[2026-02-27T15:20:29.570Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:20:32.381Z] Top recommended movies for user id 72:
[2026-02-27T15:20:32.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:20:32.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:20:32.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:20:32.381Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:20:32.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:20:32.381Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (112146.765 ms) ======
[2026-02-27T15:20:32.381Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T15:20:34.425Z] GC before operation: completed in 2043.385 ms, heap usage 1.717 GB -> 94.472 MB.
[2026-02-27T15:20:53.913Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:21:07.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:21:23.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:21:37.031Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:21:46.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:21:54.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:22:02.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:22:12.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:22:12.387Z] 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.
[2026-02-27T15:22:12.387Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:22:12.904Z] Top recommended movies for user id 72:
[2026-02-27T15:22:12.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:22:12.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:22:12.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:22:12.904Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:22:12.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:22:12.904Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (98272.778 ms) ======
[2026-02-27T15:22:12.904Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T15:22:13.387Z] GC before operation: completed in 339.916 ms, heap usage 1.177 GB -> 94.220 MB.
[2026-02-27T15:22:29.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:22:52.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:23:05.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:23:21.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:23:29.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:23:37.217Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:23:46.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:23:53.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:23:54.800Z] 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.
[2026-02-27T15:23:55.234Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:23:55.675Z] Top recommended movies for user id 72:
[2026-02-27T15:23:55.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:23:55.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:23:55.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:23:55.675Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:23:55.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:23:55.675Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (102282.370 ms) ======
[2026-02-27T15:23:55.675Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T15:23:55.675Z] GC before operation: completed in 381.944 ms, heap usage 127.000 MB -> 93.641 MB.
[2026-02-27T15:24:10.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:24:21.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:24:34.901Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:24:48.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:25:00.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:25:08.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:25:15.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:25:26.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:25:26.010Z] 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.
[2026-02-27T15:25:26.010Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:25:26.438Z] Top recommended movies for user id 72:
[2026-02-27T15:25:26.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:25:26.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:25:26.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:25:26.438Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:25:26.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:25:26.438Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (90414.749 ms) ======
[2026-02-27T15:25:26.438Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T15:25:26.438Z] GC before operation: completed in 324.274 ms, heap usage 101.052 MB -> 88.943 MB.
[2026-02-27T15:25:42.235Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:25:54.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:26:09.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:26:26.195Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:26:35.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:26:45.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:26:56.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:27:04.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:27:04.226Z] 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.
[2026-02-27T15:27:04.226Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:27:04.720Z] Top recommended movies for user id 72:
[2026-02-27T15:27:04.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:27:04.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:27:04.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:27:04.720Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:27:04.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:27:04.720Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (98247.982 ms) ======
[2026-02-27T15:27:04.720Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T15:27:05.362Z] GC before operation: completed in 440.371 ms, heap usage 347.253 MB -> 88.961 MB.
[2026-02-27T15:27:23.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:27:39.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:27:53.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:28:08.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:28:19.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:28:26.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:28:33.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:28:40.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:28:41.362Z] 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.
[2026-02-27T15:28:41.778Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:28:42.304Z] Top recommended movies for user id 72:
[2026-02-27T15:28:42.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:28:42.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:28:42.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:28:42.304Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:28:42.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:28:42.304Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (96848.455 ms) ======
[2026-02-27T15:28:42.304Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T15:28:43.485Z] GC before operation: completed in 1231.405 ms, heap usage 173.275 MB -> 88.960 MB.
[2026-02-27T15:28:58.655Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:29:17.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:29:33.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:29:48.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:29:56.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:30:01.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:30:10.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:30:22.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:30:22.490Z] 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.
[2026-02-27T15:30:23.150Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:30:23.956Z] Top recommended movies for user id 72:
[2026-02-27T15:30:23.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:30:23.956Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:30:23.956Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:30:23.956Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:30:23.956Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:30:23.956Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (100178.530 ms) ======
[2026-02-27T15:30:23.956Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T15:30:24.504Z] GC before operation: completed in 831.998 ms, heap usage 271.153 MB -> 88.977 MB.
[2026-02-27T15:30:43.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:30:55.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:31:08.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:31:20.500Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:31:25.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:31:36.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:31:48.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:31:56.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:31:58.418Z] 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.
[2026-02-27T15:31:58.418Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:31:58.866Z] Top recommended movies for user id 72:
[2026-02-27T15:31:58.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:31:58.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:31:58.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:31:58.866Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:31:58.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:31:58.866Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (94421.475 ms) ======
[2026-02-27T15:31:58.866Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T15:31:59.419Z] GC before operation: completed in 403.615 ms, heap usage 1.097 GB -> 94.400 MB.
[2026-02-27T15:32:17.766Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:32:33.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:32:46.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:33:00.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:33:08.674Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:33:16.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:33:24.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:33:31.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:33:32.412Z] 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.
[2026-02-27T15:33:32.897Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:33:32.897Z] Top recommended movies for user id 72:
[2026-02-27T15:33:32.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:33:32.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:33:32.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:33:32.897Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:33:32.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:33:32.897Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (93728.903 ms) ======
[2026-02-27T15:33:32.897Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T15:33:33.330Z] GC before operation: completed in 334.722 ms, heap usage 956.096 MB -> 93.564 MB.
[2026-02-27T15:33:52.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:34:05.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:34:25.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:34:37.496Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:34:46.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:34:52.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:35:01.164Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:35:07.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:35:07.865Z] 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.
[2026-02-27T15:35:08.297Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:35:08.297Z] Top recommended movies for user id 72:
[2026-02-27T15:35:08.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:35:08.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:35:08.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:35:08.297Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:35:08.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:35:08.297Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (95133.539 ms) ======
[2026-02-27T15:35:08.297Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T15:35:08.829Z] GC before operation: completed in 291.758 ms, heap usage 113.108 MB -> 96.472 MB.
[2026-02-27T15:35:22.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:35:41.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:35:56.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:36:16.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:36:22.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:36:32.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:36:40.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:36:46.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:36:47.369Z] 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.
[2026-02-27T15:36:47.369Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:36:47.865Z] Top recommended movies for user id 72:
[2026-02-27T15:36:47.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:36:47.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:36:47.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:36:47.865Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:36:47.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:36:47.865Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (99052.836 ms) ======
[2026-02-27T15:36:47.865Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T15:36:48.309Z] GC before operation: completed in 270.078 ms, heap usage 417.614 MB -> 89.374 MB.
[2026-02-27T15:37:03.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:37:14.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:37:33.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:37:43.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:37:51.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:38:02.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:38:10.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:38:18.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:38:20.087Z] 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.
[2026-02-27T15:38:20.521Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:38:20.934Z] Top recommended movies for user id 72:
[2026-02-27T15:38:20.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:38:20.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:38:20.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:38:20.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:38:20.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:38:20.934Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (93034.062 ms) ======
[2026-02-27T15:38:20.934Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T15:38:21.457Z] GC before operation: completed in 386.727 ms, heap usage 184.247 MB -> 91.065 MB.
[2026-02-27T15:38:39.977Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:38:50.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:39:06.284Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:39:19.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:39:27.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:39:35.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:39:44.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:39:53.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:39:53.734Z] 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.
[2026-02-27T15:39:53.734Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:39:55.911Z] Top recommended movies for user id 72:
[2026-02-27T15:39:55.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:39:55.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:39:55.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:39:55.911Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:39:55.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:39:55.911Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (94425.334 ms) ======
[2026-02-27T15:39:55.911Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T15:39:57.756Z] GC before operation: completed in 1711.143 ms, heap usage 669.780 MB -> 92.950 MB.
[2026-02-27T15:40:17.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:40:28.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:40:39.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:40:53.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:41:00.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:41:10.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:41:19.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:41:29.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:41:31.677Z] 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.
[2026-02-27T15:41:32.201Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:41:32.201Z] Top recommended movies for user id 72:
[2026-02-27T15:41:32.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:41:32.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:41:32.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:41:32.201Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:41:32.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:41:32.201Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (94725.469 ms) ======
[2026-02-27T15:41:32.201Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T15:41:32.660Z] GC before operation: completed in 333.878 ms, heap usage 339.291 MB -> 89.186 MB.
[2026-02-27T15:41:48.757Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:42:08.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:42:21.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:42:34.996Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:42:42.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:42:51.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:43:00.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:43:09.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:43:10.750Z] 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.
[2026-02-27T15:43:11.214Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:43:11.672Z] Top recommended movies for user id 72:
[2026-02-27T15:43:11.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:43:11.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:43:11.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:43:11.672Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:43:11.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:43:11.672Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (98765.550 ms) ======
[2026-02-27T15:43:11.672Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T15:43:12.212Z] GC before operation: completed in 420.982 ms, heap usage 231.528 MB -> 89.132 MB.
[2026-02-27T15:43:31.000Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:43:47.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:44:00.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:44:16.107Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:44:27.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:44:35.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:44:46.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:44:53.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:44:55.037Z] 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.
[2026-02-27T15:44:55.037Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:44:56.147Z] Top recommended movies for user id 72:
[2026-02-27T15:44:56.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:44:56.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:44:56.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:44:56.147Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:44:56.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:44:56.147Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (104240.774 ms) ======
[2026-02-27T15:44:56.147Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T15:44:56.632Z] GC before operation: completed in 244.315 ms, heap usage 421.896 MB -> 89.201 MB.
[2026-02-27T15:45:09.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:45:22.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:45:35.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:45:48.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:45:55.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:46:04.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:46:14.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:46:20.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:46:21.093Z] 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.
[2026-02-27T15:46:21.093Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:46:21.526Z] Top recommended movies for user id 72:
[2026-02-27T15:46:21.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:46:21.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:46:21.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:46:21.526Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:46:21.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:46:21.526Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (85029.818 ms) ======
[2026-02-27T15:46:21.526Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T15:46:21.526Z] GC before operation: completed in 241.340 ms, heap usage 358.317 MB -> 89.327 MB.
[2026-02-27T15:46:36.746Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T15:46:48.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T15:47:08.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T15:47:14.917Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T15:47:21.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T15:47:27.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T15:47:35.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T15:47:44.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T15:47:45.971Z] 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.
[2026-02-27T15:47:45.972Z] The best model improves the baseline by 14.52%.
[2026-02-27T15:47:46.935Z] Top recommended movies for user id 72:
[2026-02-27T15:47:46.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T15:47:46.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T15:47:46.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T15:47:46.935Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T15:47:46.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T15:47:46.935Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (84995.553 ms) ======
[2026-02-27T15:47:53.027Z] -----------------------------------
[2026-02-27T15:47:53.027Z] renaissance-movie-lens_0_PASSED
[2026-02-27T15:47:53.027Z] -----------------------------------
[2026-02-27T15:47:53.027Z]
[2026-02-27T15:47:53.027Z] TEST TEARDOWN:
[2026-02-27T15:47:53.027Z] Nothing to be done for teardown.
[2026-02-27T15:47:53.028Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 10:47:52 2026 Epoch Time (ms): 1772207272768