renaissance-movie-lens_0
[2026-02-27T03:09:17.919Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T03:09:17.919Z] ===============================================
[2026-02-27T03:09:18.271Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 03:09:17 2026 Epoch Time (ms): 1772161757964
[2026-02-27T03:09:18.271Z] variation: NoOptions
[2026-02-27T03:09:18.271Z] JVM_OPTIONS:
[2026-02-27T03:09:18.271Z] { \
[2026-02-27T03:09:18.271Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T03:09:18.271Z] echo "Nothing to be done for setup."; \
[2026-02-27T03:09:18.271Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1772160593560\\renaissance-movie-lens_0"; \
[2026-02-27T03:09:18.271Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1772160593560\\renaissance-movie-lens_0"; \
[2026-02-27T03:09:18.271Z] echo ""; echo "TESTING:"; \
[2026-02-27T03:09:18.271Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1772160593560\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \
[2026-02-27T03:09:18.272Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1772160593560\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T03:09:18.272Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T03:09:18.272Z] echo "Nothing to be done for teardown."; \
[2026-02-27T03:09:18.272Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1772160593560\\TestTargetResult";
[2026-02-27T03:09:18.272Z]
[2026-02-27T03:09:18.272Z] TEST SETUP:
[2026-02-27T03:09:18.272Z] Nothing to be done for setup.
[2026-02-27T03:09:18.272Z]
[2026-02-27T03:09:18.272Z] TESTING:
[2026-02-27T03:09:19.006Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T03:09:19.006Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_1772160593560/renaissance-movie-lens_0/launcher-030918-9473109101278703575/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T03:09:19.006Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T03:09:19.006Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T03:09:32.267Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T03:09:37.295Z] 03:09:36.313 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-27T03:09:38.695Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T03:09:39.064Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T03:09:39.064Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T03:09:39.064Z] GC before operation: completed in 135.581 ms, heap usage 353.991 MB -> 76.169 MB.
[2026-02-27T03:09:52.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:10:01.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:10:09.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:10:18.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:10:22.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:10:26.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:10:31.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:10:35.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:10:36.578Z] 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.
[2026-02-27T03:10:36.578Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:10:36.930Z] Top recommended movies for user id 72:
[2026-02-27T03:10:36.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:10:36.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:10:36.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:10:36.931Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:10:36.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:10:36.931Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57497.936 ms) ======
[2026-02-27T03:10:36.931Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T03:10:36.931Z] GC before operation: completed in 125.545 ms, heap usage 187.859 MB -> 86.828 MB.
[2026-02-27T03:10:44.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:10:51.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:10:59.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:11:06.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:11:10.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:11:14.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:11:19.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:11:23.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:11:23.965Z] 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.
[2026-02-27T03:11:23.965Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:11:23.965Z] Top recommended movies for user id 72:
[2026-02-27T03:11:23.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:11:23.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:11:23.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:11:23.965Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:11:23.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:11:23.965Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47256.709 ms) ======
[2026-02-27T03:11:23.965Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T03:11:24.318Z] GC before operation: completed in 121.402 ms, heap usage 164.225 MB -> 92.147 MB.
[2026-02-27T03:11:31.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:11:37.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:11:46.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:11:53.012Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:11:56.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:12:00.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:12:05.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:12:09.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:12:09.606Z] 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.
[2026-02-27T03:12:09.606Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:12:09.958Z] Top recommended movies for user id 72:
[2026-02-27T03:12:09.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:12:09.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:12:09.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:12:09.959Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:12:09.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:12:09.959Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45650.662 ms) ======
[2026-02-27T03:12:09.959Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T03:12:09.959Z] GC before operation: completed in 122.092 ms, heap usage 102.476 MB -> 89.374 MB.
[2026-02-27T03:12:17.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:12:24.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:12:32.138Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:12:39.508Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:12:42.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:12:47.491Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:12:51.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:12:55.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:12:55.582Z] 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.
[2026-02-27T03:12:55.582Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:12:55.930Z] Top recommended movies for user id 72:
[2026-02-27T03:12:55.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:12:55.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:12:55.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:12:55.930Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:12:55.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:12:55.930Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45916.764 ms) ======
[2026-02-27T03:12:55.930Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T03:12:55.930Z] GC before operation: completed in 121.299 ms, heap usage 117.907 MB -> 89.808 MB.
[2026-02-27T03:13:03.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:13:10.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:13:18.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:13:25.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:13:29.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:13:33.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:13:38.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:13:42.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:13:42.060Z] 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.
[2026-02-27T03:13:42.060Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:13:42.431Z] Top recommended movies for user id 72:
[2026-02-27T03:13:42.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:13:42.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:13:42.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:13:42.431Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:13:42.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:13:42.431Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46490.621 ms) ======
[2026-02-27T03:13:42.431Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T03:13:42.431Z] GC before operation: completed in 119.816 ms, heap usage 362.821 MB -> 90.063 MB.
[2026-02-27T03:13:49.790Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:13:57.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:14:04.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:14:10.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:14:14.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:14:19.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:14:23.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:14:27.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:14:27.809Z] 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.
[2026-02-27T03:14:27.809Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:14:28.160Z] Top recommended movies for user id 72:
[2026-02-27T03:14:28.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:14:28.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:14:28.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:14:28.160Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:14:28.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:14:28.160Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (45537.443 ms) ======
[2026-02-27T03:14:28.160Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T03:14:28.160Z] GC before operation: completed in 115.313 ms, heap usage 176.553 MB -> 90.135 MB.
[2026-02-27T03:14:35.541Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:14:41.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:14:48.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:14:56.385Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:15:00.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:15:04.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:15:09.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:15:12.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:15:12.913Z] 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.
[2026-02-27T03:15:12.913Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:15:13.265Z] Top recommended movies for user id 72:
[2026-02-27T03:15:13.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:15:13.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:15:13.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:15:13.265Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:15:13.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:15:13.265Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45034.033 ms) ======
[2026-02-27T03:15:13.265Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T03:15:13.265Z] GC before operation: completed in 113.223 ms, heap usage 178.793 MB -> 90.122 MB.
[2026-02-27T03:15:20.654Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:15:28.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:15:35.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:15:41.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:15:46.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:15:49.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:15:54.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:15:58.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:15:58.117Z] 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.
[2026-02-27T03:15:58.117Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:15:58.117Z] Top recommended movies for user id 72:
[2026-02-27T03:15:58.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:15:58.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:15:58.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:15:58.117Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:15:58.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:15:58.117Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (44786.047 ms) ======
[2026-02-27T03:15:58.117Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T03:15:58.468Z] GC before operation: completed in 119.275 ms, heap usage 262.298 MB -> 90.413 MB.
[2026-02-27T03:16:05.889Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:16:11.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:16:19.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:16:26.686Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:16:29.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:16:33.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:16:38.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:16:41.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:16:41.871Z] 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.
[2026-02-27T03:16:41.871Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:16:42.229Z] Top recommended movies for user id 72:
[2026-02-27T03:16:42.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:16:42.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:16:42.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:16:42.229Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:16:42.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:16:42.229Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43950.781 ms) ======
[2026-02-27T03:16:42.229Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T03:16:42.229Z] GC before operation: completed in 114.941 ms, heap usage 432.326 MB -> 90.404 MB.
[2026-02-27T03:16:49.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:16:56.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:17:04.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:17:10.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:17:15.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:17:18.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:17:23.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:17:27.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:17:27.175Z] 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.
[2026-02-27T03:17:27.175Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:17:27.532Z] Top recommended movies for user id 72:
[2026-02-27T03:17:27.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:17:27.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:17:27.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:17:27.532Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:17:27.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:17:27.532Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45185.964 ms) ======
[2026-02-27T03:17:27.532Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T03:17:27.532Z] GC before operation: completed in 126.520 ms, heap usage 208.665 MB -> 90.388 MB.
[2026-02-27T03:17:34.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:17:42.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:17:49.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:17:55.921Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:17:59.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:18:04.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:18:08.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:18:12.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:18:12.428Z] 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.
[2026-02-27T03:18:12.428Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:18:12.776Z] Top recommended movies for user id 72:
[2026-02-27T03:18:12.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:18:12.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:18:12.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:18:12.777Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:18:12.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:18:12.777Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (45122.258 ms) ======
[2026-02-27T03:18:12.777Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T03:18:12.777Z] GC before operation: completed in 121.342 ms, heap usage 178.875 MB -> 90.098 MB.
[2026-02-27T03:18:20.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:18:27.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:18:34.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:18:40.967Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:18:44.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:18:48.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:18:52.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:18:56.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:18:56.443Z] 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.
[2026-02-27T03:18:56.443Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:18:56.805Z] Top recommended movies for user id 72:
[2026-02-27T03:18:56.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:18:56.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:18:56.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:18:56.805Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:18:56.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:18:56.805Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (43842.381 ms) ======
[2026-02-27T03:18:56.805Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T03:18:56.805Z] GC before operation: completed in 123.268 ms, heap usage 550.736 MB -> 96.274 MB.
[2026-02-27T03:19:04.186Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:19:11.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:19:18.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:19:24.989Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:19:29.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:19:33.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:19:38.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:19:41.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:19:42.542Z] 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.
[2026-02-27T03:19:42.542Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:19:42.542Z] Top recommended movies for user id 72:
[2026-02-27T03:19:42.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:19:42.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:19:42.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:19:42.542Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:19:42.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:19:42.542Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (45726.840 ms) ======
[2026-02-27T03:19:42.542Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T03:19:42.916Z] GC before operation: completed in 118.879 ms, heap usage 181.129 MB -> 90.445 MB.
[2026-02-27T03:19:50.317Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:19:57.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:20:05.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:20:12.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:20:15.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:20:20.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:20:24.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:20:28.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:20:28.779Z] 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.
[2026-02-27T03:20:29.193Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:20:29.193Z] Top recommended movies for user id 72:
[2026-02-27T03:20:29.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:20:29.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:20:29.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:20:29.193Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:20:29.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:20:29.193Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46519.284 ms) ======
[2026-02-27T03:20:29.193Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T03:20:29.548Z] GC before operation: completed in 116.102 ms, heap usage 176.025 MB -> 90.302 MB.
[2026-02-27T03:20:36.963Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:20:42.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:20:50.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:20:58.091Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:21:01.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:21:04.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:21:09.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:21:12.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:21:13.686Z] 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.
[2026-02-27T03:21:13.686Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:21:13.686Z] Top recommended movies for user id 72:
[2026-02-27T03:21:13.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:21:13.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:21:13.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:21:13.686Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:21:13.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:21:13.686Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (44386.313 ms) ======
[2026-02-27T03:21:13.686Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T03:21:14.049Z] GC before operation: completed in 119.569 ms, heap usage 506.305 MB -> 90.936 MB.
[2026-02-27T03:21:21.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:21:27.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:21:36.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:21:42.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:21:46.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:21:50.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:21:55.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:21:58.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:21:59.436Z] 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.
[2026-02-27T03:21:59.436Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:21:59.436Z] Top recommended movies for user id 72:
[2026-02-27T03:21:59.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:21:59.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:21:59.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:21:59.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:21:59.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:21:59.436Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45609.483 ms) ======
[2026-02-27T03:21:59.436Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T03:21:59.812Z] GC before operation: completed in 122.429 ms, heap usage 285.746 MB -> 90.558 MB.
[2026-02-27T03:22:07.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:22:13.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:22:22.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:22:28.283Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:22:32.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:22:36.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:22:40.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:22:44.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:22:44.891Z] 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.
[2026-02-27T03:22:44.891Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:22:44.891Z] Top recommended movies for user id 72:
[2026-02-27T03:22:44.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:22:44.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:22:44.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:22:44.891Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:22:44.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:22:44.891Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45347.727 ms) ======
[2026-02-27T03:22:44.891Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T03:22:45.252Z] GC before operation: completed in 120.964 ms, heap usage 101.971 MB -> 90.324 MB.
[2026-02-27T03:22:52.598Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:22:59.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:23:07.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:23:13.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:23:18.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:23:22.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:23:25.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:23:29.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:23:30.186Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T03:23:30.186Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:23:30.545Z] Top recommended movies for user id 72:
[2026-02-27T03:23:30.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:23:30.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:23:30.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:23:30.546Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:23:30.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:23:30.546Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45369.906 ms) ======
[2026-02-27T03:23:30.546Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T03:23:30.546Z] GC before operation: completed in 115.070 ms, heap usage 195.046 MB -> 90.356 MB.
[2026-02-27T03:23:37.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:23:45.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:23:52.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:23:58.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:24:02.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:24:06.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:24:11.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:24:15.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:24:15.282Z] 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.
[2026-02-27T03:24:15.282Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:24:15.649Z] Top recommended movies for user id 72:
[2026-02-27T03:24:15.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:24:15.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:24:15.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:24:15.650Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:24:15.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:24:15.650Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (45065.709 ms) ======
[2026-02-27T03:24:15.650Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T03:24:15.650Z] GC before operation: completed in 121.397 ms, heap usage 281.449 MB -> 90.565 MB.
[2026-02-27T03:24:23.039Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:24:30.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:24:37.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:24:43.820Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:24:48.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:24:51.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:24:56.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:25:00.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:25:00.848Z] 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.
[2026-02-27T03:25:00.848Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:25:00.848Z] Top recommended movies for user id 72:
[2026-02-27T03:25:00.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:25:00.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:25:00.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:25:00.848Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:25:00.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:25:00.848Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45222.110 ms) ======
[2026-02-27T03:25:01.702Z] -----------------------------------
[2026-02-27T03:25:01.702Z] renaissance-movie-lens_0_PASSED
[2026-02-27T03:25:01.702Z] -----------------------------------
[2026-02-27T03:25:02.052Z]
[2026-02-27T03:25:02.052Z] TEST TEARDOWN:
[2026-02-27T03:25:02.052Z] Nothing to be done for teardown.
[2026-02-27T03:25:02.052Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 03:25:02 2026 Epoch Time (ms): 1772162702013