renaissance-movie-lens_0
[2026-02-13T08:48:19.278Z] Running test renaissance-movie-lens_0 ...
[2026-02-13T08:48:19.278Z] ===============================================
[2026-02-13T08:48:19.278Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 08:48:18 2026 Epoch Time (ms): 1770972498279
[2026-02-13T08:48:19.278Z] variation: NoOptions
[2026-02-13T08:48:19.278Z] JVM_OPTIONS:
[2026-02-13T08:48:19.278Z] { \
[2026-02-13T08:48:19.278Z] echo ""; echo "TEST SETUP:"; \
[2026-02-13T08:48:19.278Z] echo "Nothing to be done for setup."; \
[2026-02-13T08:48:19.278Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709715853444/renaissance-movie-lens_0"; \
[2026-02-13T08:48:19.278Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709715853444/renaissance-movie-lens_0"; \
[2026-02-13T08:48:19.278Z] echo ""; echo "TESTING:"; \
[2026-02-13T08:48:19.278Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709715853444/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-13T08:48:19.278Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709715853444/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-13T08:48:19.278Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-13T08:48:19.278Z] echo "Nothing to be done for teardown."; \
[2026-02-13T08:48:19.278Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709715853444/TestTargetResult";
[2026-02-13T08:48:19.278Z]
[2026-02-13T08:48:19.278Z] TEST SETUP:
[2026-02-13T08:48:19.278Z] Nothing to be done for setup.
[2026-02-13T08:48:19.278Z]
[2026-02-13T08:48:19.278Z] TESTING:
[2026-02-13T08:48:19.278Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-13T08:48:19.278Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17709715853444/renaissance-movie-lens_0/launcher-084818-845640394684223695/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-13T08:48:19.278Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-13T08:48:19.278Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-13T08:48:26.062Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-13T08:48:34.524Z] 08:48:33.598 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-13T08:48:37.723Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-13T08:48:37.723Z] Training: 60056, validation: 20285, test: 19854
[2026-02-13T08:48:37.723Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-13T08:48:37.723Z] GC before operation: completed in 136.932 ms, heap usage 460.717 MB -> 75.811 MB.
[2026-02-13T08:48:44.782Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:48:49.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:48:52.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:48:56.611Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:48:58.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:48:59.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:49:01.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:49:03.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:49:03.569Z] 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.
[2026-02-13T08:49:03.569Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:49:04.535Z] Top recommended movies for user id 72:
[2026-02-13T08:49:04.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:49:04.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:49:04.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:49:04.535Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:49:04.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:49:04.535Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26793.935 ms) ======
[2026-02-13T08:49:04.535Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-13T08:49:04.535Z] GC before operation: completed in 151.014 ms, heap usage 185.413 MB -> 86.429 MB.
[2026-02-13T08:49:07.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:49:10.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:49:12.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:49:15.766Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:49:17.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:49:19.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:49:21.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:49:22.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:49:22.717Z] 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.
[2026-02-13T08:49:22.717Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:49:23.685Z] Top recommended movies for user id 72:
[2026-02-13T08:49:23.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:49:23.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:49:23.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:49:23.685Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:49:23.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:49:23.685Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18934.303 ms) ======
[2026-02-13T08:49:23.685Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-13T08:49:23.685Z] GC before operation: completed in 132.503 ms, heap usage 427.741 MB -> 88.915 MB.
[2026-02-13T08:49:25.669Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:49:28.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:49:31.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:49:33.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:49:35.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:49:36.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:49:39.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:49:40.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:49:40.658Z] 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.
[2026-02-13T08:49:40.658Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:49:40.658Z] Top recommended movies for user id 72:
[2026-02-13T08:49:40.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:49:40.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:49:40.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:49:40.658Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:49:40.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:49:40.659Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17195.803 ms) ======
[2026-02-13T08:49:40.659Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-13T08:49:40.659Z] GC before operation: completed in 130.500 ms, heap usage 492.389 MB -> 89.665 MB.
[2026-02-13T08:49:44.880Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:49:47.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:49:52.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:49:56.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:49:58.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:50:01.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:50:03.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:50:05.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:50:05.672Z] 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.
[2026-02-13T08:50:05.672Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:50:06.639Z] Top recommended movies for user id 72:
[2026-02-13T08:50:06.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:50:06.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:50:06.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:50:06.639Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:50:06.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:50:06.639Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25484.493 ms) ======
[2026-02-13T08:50:06.639Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-13T08:50:06.639Z] GC before operation: completed in 155.574 ms, heap usage 369.133 MB -> 89.816 MB.
[2026-02-13T08:50:10.867Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:50:13.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:50:18.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:50:22.413Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:50:24.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:50:27.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:50:30.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:50:32.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:50:32.537Z] 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.
[2026-02-13T08:50:32.537Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:50:33.506Z] Top recommended movies for user id 72:
[2026-02-13T08:50:33.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:50:33.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:50:33.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:50:33.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:50:33.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:50:33.506Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26876.490 ms) ======
[2026-02-13T08:50:33.506Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-13T08:50:33.506Z] GC before operation: completed in 145.924 ms, heap usage 176.219 MB -> 89.470 MB.
[2026-02-13T08:50:37.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:50:41.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:50:44.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:50:48.430Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:50:50.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:50:52.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:50:55.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:50:57.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:50:58.515Z] 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.
[2026-02-13T08:50:58.515Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:50:58.515Z] Top recommended movies for user id 72:
[2026-02-13T08:50:58.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:50:58.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:50:58.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:50:58.515Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:50:58.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:50:58.515Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25077.313 ms) ======
[2026-02-13T08:50:58.515Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-13T08:50:58.515Z] GC before operation: completed in 157.435 ms, heap usage 125.036 MB -> 89.723 MB.
[2026-02-13T08:51:01.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:51:04.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:51:06.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:51:08.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:51:10.646Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:51:11.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:51:12.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:51:14.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:51:14.577Z] 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.
[2026-02-13T08:51:14.577Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:51:14.577Z] Top recommended movies for user id 72:
[2026-02-13T08:51:14.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:51:14.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:51:14.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:51:14.577Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:51:14.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:51:14.577Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16177.853 ms) ======
[2026-02-13T08:51:14.577Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-13T08:51:14.577Z] GC before operation: completed in 140.620 ms, heap usage 363.047 MB -> 89.984 MB.
[2026-02-13T08:51:17.650Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:51:19.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:51:22.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:51:24.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:51:25.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:51:27.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:51:28.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:51:30.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:51:30.640Z] 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.
[2026-02-13T08:51:30.640Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:51:30.640Z] Top recommended movies for user id 72:
[2026-02-13T08:51:30.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:51:30.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:51:30.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:51:30.640Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:51:30.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:51:30.640Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15519.861 ms) ======
[2026-02-13T08:51:30.640Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-13T08:51:30.640Z] GC before operation: completed in 142.158 ms, heap usage 228.795 MB -> 90.008 MB.
[2026-02-13T08:51:32.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:51:35.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:51:37.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:51:40.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:51:41.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:51:42.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:51:44.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:51:45.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:51:46.648Z] 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.
[2026-02-13T08:51:46.648Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:51:46.648Z] Top recommended movies for user id 72:
[2026-02-13T08:51:46.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:51:46.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:51:46.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:51:46.648Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:51:46.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:51:46.648Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15928.812 ms) ======
[2026-02-13T08:51:46.648Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-13T08:51:46.648Z] GC before operation: completed in 134.133 ms, heap usage 366.670 MB -> 90.067 MB.
[2026-02-13T08:51:48.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:51:51.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:51:53.703Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:51:56.865Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:51:57.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:51:59.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:52:00.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:52:02.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:52:02.772Z] 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.
[2026-02-13T08:52:02.772Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:52:02.772Z] Top recommended movies for user id 72:
[2026-02-13T08:52:02.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:52:02.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:52:02.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:52:02.772Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:52:02.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:52:02.772Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15887.716 ms) ======
[2026-02-13T08:52:02.772Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-13T08:52:02.772Z] GC before operation: completed in 132.184 ms, heap usage 214.913 MB -> 90.082 MB.
[2026-02-13T08:52:04.760Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:52:06.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:52:09.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:52:11.897Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:52:12.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:52:13.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:52:15.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:52:17.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:52:17.799Z] 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.
[2026-02-13T08:52:17.799Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:52:17.799Z] Top recommended movies for user id 72:
[2026-02-13T08:52:17.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:52:17.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:52:17.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:52:17.799Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:52:17.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:52:17.799Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14932.219 ms) ======
[2026-02-13T08:52:17.799Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-13T08:52:17.799Z] GC before operation: completed in 173.151 ms, heap usage 498.680 MB -> 90.186 MB.
[2026-02-13T08:52:19.789Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:52:21.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:52:24.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:52:26.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:52:27.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:52:28.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:52:30.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:52:32.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:52:32.911Z] 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.
[2026-02-13T08:52:32.911Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:52:32.911Z] Top recommended movies for user id 72:
[2026-02-13T08:52:32.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:52:32.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:52:32.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:52:32.911Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:52:32.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:52:32.911Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14935.658 ms) ======
[2026-02-13T08:52:32.911Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-13T08:52:32.911Z] GC before operation: completed in 496.432 ms, heap usage 353.628 MB -> 90.295 MB.
[2026-02-13T08:52:36.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:52:38.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:52:40.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:52:42.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:52:43.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:52:44.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:52:46.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:52:48.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:52:48.055Z] 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.
[2026-02-13T08:52:48.055Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:52:48.055Z] Top recommended movies for user id 72:
[2026-02-13T08:52:48.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:52:48.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:52:48.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:52:48.055Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:52:48.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:52:48.055Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14924.081 ms) ======
[2026-02-13T08:52:48.055Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-13T08:52:49.022Z] GC before operation: completed in 407.932 ms, heap usage 705.593 MB -> 94.084 MB.
[2026-02-13T08:52:51.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:52:53.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:52:56.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:52:58.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:52:59.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:53:01.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:53:02.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:53:03.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:53:04.108Z] 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.
[2026-02-13T08:53:04.108Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:53:04.108Z] Top recommended movies for user id 72:
[2026-02-13T08:53:04.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:53:04.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:53:04.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:53:04.108Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:53:04.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:53:04.108Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15312.804 ms) ======
[2026-02-13T08:53:04.108Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-13T08:53:04.108Z] GC before operation: completed in 127.121 ms, heap usage 188.043 MB -> 90.023 MB.
[2026-02-13T08:53:06.099Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:53:08.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:53:11.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:53:13.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:53:14.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:53:16.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:53:17.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:53:18.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:53:19.234Z] 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.
[2026-02-13T08:53:19.234Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:53:19.234Z] Top recommended movies for user id 72:
[2026-02-13T08:53:19.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:53:19.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:53:19.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:53:19.234Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:53:19.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:53:19.234Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15043.147 ms) ======
[2026-02-13T08:53:19.234Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-13T08:53:19.234Z] GC before operation: completed in 145.245 ms, heap usage 284.460 MB -> 90.325 MB.
[2026-02-13T08:53:21.222Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:53:24.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:53:26.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:53:28.554Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:53:30.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:53:31.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:53:33.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:53:34.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:53:35.455Z] 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.
[2026-02-13T08:53:35.455Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:53:35.456Z] Top recommended movies for user id 72:
[2026-02-13T08:53:35.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:53:35.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:53:35.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:53:35.456Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:53:35.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:53:35.456Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15978.444 ms) ======
[2026-02-13T08:53:35.456Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-13T08:53:35.456Z] GC before operation: completed in 128.772 ms, heap usage 342.445 MB -> 90.221 MB.
[2026-02-13T08:53:37.448Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:53:40.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:53:42.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:53:44.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:53:46.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:53:47.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:53:49.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:53:50.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:53:50.088Z] 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.
[2026-02-13T08:53:50.088Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:53:51.105Z] Top recommended movies for user id 72:
[2026-02-13T08:53:51.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:53:51.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:53:51.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:53:51.105Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:53:51.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:53:51.105Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15436.127 ms) ======
[2026-02-13T08:53:51.105Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-13T08:53:51.105Z] GC before operation: completed in 242.447 ms, heap usage 205.518 MB -> 90.129 MB.
[2026-02-13T08:53:53.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:53:56.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:53:58.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:54:00.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:54:02.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:54:03.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:54:04.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:54:06.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:54:06.283Z] 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.
[2026-02-13T08:54:06.283Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:54:06.283Z] Top recommended movies for user id 72:
[2026-02-13T08:54:06.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:54:06.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:54:06.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:54:06.283Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:54:06.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:54:06.283Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15548.864 ms) ======
[2026-02-13T08:54:06.283Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-13T08:54:06.283Z] GC before operation: completed in 135.418 ms, heap usage 190.180 MB -> 89.933 MB.
[2026-02-13T08:54:09.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:54:11.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:54:14.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:54:16.442Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:54:18.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:54:19.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:54:20.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:54:22.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:54:22.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:54:22.380Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:54:22.380Z] Top recommended movies for user id 72:
[2026-02-13T08:54:22.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:54:22.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:54:22.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:54:22.380Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:54:22.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:54:22.380Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16064.078 ms) ======
[2026-02-13T08:54:22.380Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-13T08:54:23.356Z] GC before operation: completed in 171.540 ms, heap usage 124.707 MB -> 90.233 MB.
[2026-02-13T08:54:25.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:54:28.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:54:30.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:54:33.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:54:34.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:54:36.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:54:37.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:54:42.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:54:42.898Z] 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.
[2026-02-13T08:54:42.898Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:54:42.898Z] Top recommended movies for user id 72:
[2026-02-13T08:54:42.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:54:42.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:54:42.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:54:42.898Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:54:42.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:54:42.898Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16313.142 ms) ======
[2026-02-13T08:54:42.898Z] -----------------------------------
[2026-02-13T08:54:42.898Z] renaissance-movie-lens_0_PASSED
[2026-02-13T08:54:42.898Z] -----------------------------------
[2026-02-13T08:54:42.898Z]
[2026-02-13T08:54:42.898Z] TEST TEARDOWN:
[2026-02-13T08:54:42.898Z] Nothing to be done for teardown.
[2026-02-13T08:54:42.898Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 08:54:39 2026 Epoch Time (ms): 1770972879651