renaissance-movie-lens_0
[2026-02-13T01:02:37.425Z] Running test renaissance-movie-lens_0 ...
[2026-02-13T01:02:37.425Z] ===============================================
[2026-02-13T01:02:37.425Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 01:02:36 2026 Epoch Time (ms): 1770944556931
[2026-02-13T01:02:37.425Z] variation: NoOptions
[2026-02-13T01:02:37.425Z] JVM_OPTIONS:
[2026-02-13T01:02:37.425Z] { \
[2026-02-13T01:02:37.425Z] echo ""; echo "TEST SETUP:"; \
[2026-02-13T01:02:37.425Z] echo "Nothing to be done for setup."; \
[2026-02-13T01:02:37.425Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709437521084/renaissance-movie-lens_0"; \
[2026-02-13T01:02:37.425Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709437521084/renaissance-movie-lens_0"; \
[2026-02-13T01:02:37.425Z] echo ""; echo "TESTING:"; \
[2026-02-13T01:02:37.425Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709437521084/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-13T01:02:37.425Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709437521084/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-13T01:02:37.425Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-13T01:02:37.425Z] echo "Nothing to be done for teardown."; \
[2026-02-13T01:02:37.425Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709437521084/TestTargetResult";
[2026-02-13T01:02:37.425Z]
[2026-02-13T01:02:37.425Z] TEST SETUP:
[2026-02-13T01:02:37.425Z] Nothing to be done for setup.
[2026-02-13T01:02:37.425Z]
[2026-02-13T01:02:37.425Z] TESTING:
[2026-02-13T01:02:38.183Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-13T01:02:38.183Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17709437521084/renaissance-movie-lens_0/launcher-010237-13938649704465250791/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-13T01:02:38.183Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-13T01:02:38.183Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-13T01:02:46.395Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-13T01:03:00.711Z] 01:02:58.154 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-13T01:03:04.105Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-13T01:03:04.864Z] Training: 60056, validation: 20285, test: 19854
[2026-02-13T01:03:04.864Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-13T01:03:04.864Z] GC before operation: completed in 253.903 ms, heap usage 270.843 MB -> 75.783 MB.
[2026-02-13T01:03:16.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:03:22.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:03:28.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:03:33.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:03:37.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:03:40.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:03:44.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:03:47.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:03:47.522Z] 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.
[2026-02-13T01:03:47.522Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:03:48.277Z] Top recommended movies for user id 72:
[2026-02-13T01:03:48.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:03:48.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:03:48.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:03:48.277Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:03:48.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:03:48.277Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43312.552 ms) ======
[2026-02-13T01:03:48.277Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-13T01:03:48.277Z] GC before operation: completed in 247.633 ms, heap usage 134.263 MB -> 87.238 MB.
[2026-02-13T01:03:55.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:03:58.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:04:04.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:04:09.994Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:04:12.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:04:15.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:04:19.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:04:21.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:04:22.572Z] 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.
[2026-02-13T01:04:22.572Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:04:23.333Z] Top recommended movies for user id 72:
[2026-02-13T01:04:23.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:04:23.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:04:23.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:04:23.333Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:04:23.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:04:23.333Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34454.196 ms) ======
[2026-02-13T01:04:23.333Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-13T01:04:23.333Z] GC before operation: completed in 271.322 ms, heap usage 457.374 MB -> 88.595 MB.
[2026-02-13T01:04:27.763Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:04:33.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:04:38.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:04:42.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:04:46.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:04:48.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:04:52.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:04:54.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:04:54.453Z] 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.
[2026-02-13T01:04:54.453Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:04:55.218Z] Top recommended movies for user id 72:
[2026-02-13T01:04:55.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:04:55.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:04:55.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:04:55.218Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:04:55.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:04:55.218Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31796.158 ms) ======
[2026-02-13T01:04:55.218Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-13T01:04:55.218Z] GC before operation: completed in 311.453 ms, heap usage 162.090 MB -> 89.015 MB.
[2026-02-13T01:04:59.687Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:05:05.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:05:09.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:05:14.161Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:05:16.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:05:19.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:05:21.864Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:05:25.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:05:25.267Z] 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.
[2026-02-13T01:05:25.267Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:05:26.035Z] Top recommended movies for user id 72:
[2026-02-13T01:05:26.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:05:26.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:05:26.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:05:26.036Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:05:26.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:05:26.036Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30447.389 ms) ======
[2026-02-13T01:05:26.036Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-13T01:05:26.036Z] GC before operation: completed in 270.129 ms, heap usage 385.496 MB -> 89.616 MB.
[2026-02-13T01:05:30.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:05:34.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:05:40.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:05:43.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:05:47.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:05:49.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:05:53.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:05:55.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:05:55.553Z] 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.
[2026-02-13T01:05:56.308Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:05:56.308Z] Top recommended movies for user id 72:
[2026-02-13T01:05:56.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:05:56.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:05:56.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:05:56.308Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:05:56.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:05:56.308Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30196.281 ms) ======
[2026-02-13T01:05:56.308Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-13T01:05:56.308Z] GC before operation: completed in 240.508 ms, heap usage 236.376 MB -> 89.257 MB.
[2026-02-13T01:06:00.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:06:05.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:06:10.703Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:06:15.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:06:18.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:06:19.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:06:22.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:06:24.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:06:25.385Z] 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.
[2026-02-13T01:06:25.385Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:06:25.385Z] Top recommended movies for user id 72:
[2026-02-13T01:06:25.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:06:25.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:06:25.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:06:25.385Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:06:25.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:06:25.385Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (29074.914 ms) ======
[2026-02-13T01:06:25.385Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-13T01:06:26.142Z] GC before operation: completed in 245.257 ms, heap usage 188.968 MB -> 89.628 MB.
[2026-02-13T01:06:29.540Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:06:33.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:06:39.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:06:42.884Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:06:45.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:06:47.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:06:51.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:06:53.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:06:54.328Z] 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.
[2026-02-13T01:06:54.328Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:06:54.328Z] Top recommended movies for user id 72:
[2026-02-13T01:06:54.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:06:54.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:06:54.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:06:54.328Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:06:54.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:06:54.328Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28462.669 ms) ======
[2026-02-13T01:06:54.328Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-13T01:06:54.328Z] GC before operation: completed in 270.370 ms, heap usage 240.112 MB -> 89.645 MB.
[2026-02-13T01:06:58.759Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:07:03.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:07:07.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:07:11.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:07:13.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:07:15.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:07:18.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:07:20.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:07:21.249Z] 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.
[2026-02-13T01:07:21.249Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:07:21.249Z] Top recommended movies for user id 72:
[2026-02-13T01:07:21.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:07:21.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:07:21.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:07:21.249Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:07:21.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:07:21.249Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26930.893 ms) ======
[2026-02-13T01:07:21.249Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-13T01:07:22.011Z] GC before operation: completed in 309.196 ms, heap usage 280.492 MB -> 89.906 MB.
[2026-02-13T01:07:26.441Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:07:30.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:07:34.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:07:38.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:07:41.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:07:43.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:07:45.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:07:48.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:07:49.262Z] 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.
[2026-02-13T01:07:49.262Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:07:49.262Z] Top recommended movies for user id 72:
[2026-02-13T01:07:49.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:07:49.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:07:49.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:07:49.262Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:07:49.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:07:49.262Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27497.399 ms) ======
[2026-02-13T01:07:49.262Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-13T01:07:50.035Z] GC before operation: completed in 346.971 ms, heap usage 399.446 MB -> 89.946 MB.
[2026-02-13T01:07:53.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:07:57.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:08:02.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:08:06.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:08:08.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:08:12.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:08:13.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:08:17.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:08:17.300Z] 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.
[2026-02-13T01:08:17.300Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:08:17.300Z] Top recommended movies for user id 72:
[2026-02-13T01:08:17.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:08:17.300Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:08:17.300Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:08:17.300Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:08:17.300Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:08:17.300Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27888.152 ms) ======
[2026-02-13T01:08:17.300Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-13T01:08:18.074Z] GC before operation: completed in 269.544 ms, heap usage 371.299 MB -> 90.097 MB.
[2026-02-13T01:08:22.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:08:27.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:08:30.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:08:34.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:08:37.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:08:39.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:08:43.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:08:44.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:08:45.781Z] 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.
[2026-02-13T01:08:45.781Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:08:45.781Z] Top recommended movies for user id 72:
[2026-02-13T01:08:45.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:08:45.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:08:45.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:08:45.781Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:08:45.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:08:45.781Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28217.178 ms) ======
[2026-02-13T01:08:45.781Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-13T01:08:46.562Z] GC before operation: completed in 250.141 ms, heap usage 365.686 MB -> 89.837 MB.
[2026-02-13T01:08:51.060Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:08:55.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:08:59.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:09:04.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:09:06.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:09:08.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:09:11.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:09:13.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:09:14.752Z] 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.
[2026-02-13T01:09:14.753Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:09:14.753Z] Top recommended movies for user id 72:
[2026-02-13T01:09:14.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:09:14.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:09:14.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:09:14.753Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:09:14.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:09:14.753Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28528.848 ms) ======
[2026-02-13T01:09:14.753Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-13T01:09:14.753Z] GC before operation: completed in 230.342 ms, heap usage 167.832 MB -> 89.801 MB.
[2026-02-13T01:09:19.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:09:23.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:09:28.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:09:32.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:09:35.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:09:37.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:09:40.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:09:43.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:09:43.916Z] 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.
[2026-02-13T01:09:43.916Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:09:44.700Z] Top recommended movies for user id 72:
[2026-02-13T01:09:44.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:09:44.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:09:44.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:09:44.700Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:09:44.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:09:44.700Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29383.098 ms) ======
[2026-02-13T01:09:44.700Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-13T01:09:44.700Z] GC before operation: completed in 237.167 ms, heap usage 380.377 MB -> 90.154 MB.
[2026-02-13T01:09:49.201Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:09:54.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:09:58.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:10:03.201Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:10:05.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:10:08.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:10:11.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:10:13.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:10:14.042Z] 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.
[2026-02-13T01:10:14.042Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:10:14.042Z] Top recommended movies for user id 72:
[2026-02-13T01:10:14.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:10:14.042Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:10:14.042Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:10:14.042Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:10:14.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:10:14.042Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29499.463 ms) ======
[2026-02-13T01:10:14.042Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-13T01:10:14.818Z] GC before operation: completed in 238.037 ms, heap usage 132.430 MB -> 91.138 MB.
[2026-02-13T01:10:19.299Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:10:23.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:10:28.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:10:33.928Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:10:36.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:10:39.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:10:41.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:10:43.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:10:43.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T01:10:43.998Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:10:45.312Z] Top recommended movies for user id 72:
[2026-02-13T01:10:45.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:10:45.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:10:45.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:10:45.312Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:10:45.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:10:45.312Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (30109.891 ms) ======
[2026-02-13T01:10:45.312Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-13T01:10:45.312Z] GC before operation: completed in 178.205 ms, heap usage 347.209 MB -> 90.115 MB.
[2026-02-13T01:10:48.760Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:10:53.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:10:57.729Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:11:02.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:11:04.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:11:07.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:11:09.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:11:13.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:11:13.223Z] 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.
[2026-02-13T01:11:13.223Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:11:13.223Z] Top recommended movies for user id 72:
[2026-02-13T01:11:13.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:11:13.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:11:13.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:11:13.223Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:11:13.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:11:13.223Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28726.945 ms) ======
[2026-02-13T01:11:13.223Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-13T01:11:13.996Z] GC before operation: completed in 235.537 ms, heap usage 122.971 MB -> 89.699 MB.
[2026-02-13T01:11:17.448Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:11:21.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:11:25.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:11:29.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:11:32.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:11:34.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:11:38.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:11:40.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:11:40.809Z] 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.
[2026-02-13T01:11:40.809Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:11:40.809Z] Top recommended movies for user id 72:
[2026-02-13T01:11:40.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:11:40.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:11:40.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:11:40.809Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:11:40.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:11:40.809Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27258.599 ms) ======
[2026-02-13T01:11:40.809Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-13T01:11:42.161Z] GC before operation: completed in 287.811 ms, heap usage 534.732 MB -> 90.377 MB.
[2026-02-13T01:11:45.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:11:50.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:11:53.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:11:58.055Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:12:00.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:12:03.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:12:05.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:12:08.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:12:08.791Z] 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.
[2026-02-13T01:12:08.791Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:12:08.791Z] Top recommended movies for user id 72:
[2026-02-13T01:12:08.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:12:08.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:12:08.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:12:08.791Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:12:08.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:12:08.791Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27916.604 ms) ======
[2026-02-13T01:12:08.791Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-13T01:12:09.570Z] GC before operation: completed in 210.505 ms, heap usage 305.173 MB -> 89.960 MB.
[2026-02-13T01:12:14.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:12:18.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:12:23.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:12:27.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:12:30.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:12:32.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:12:35.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:12:38.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:12:38.131Z] 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.
[2026-02-13T01:12:38.131Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:12:38.131Z] Top recommended movies for user id 72:
[2026-02-13T01:12:38.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:12:38.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:12:38.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:12:38.131Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:12:38.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:12:38.131Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29027.152 ms) ======
[2026-02-13T01:12:38.131Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-13T01:12:38.906Z] GC before operation: completed in 192.332 ms, heap usage 297.053 MB -> 90.028 MB.
[2026-02-13T01:12:43.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:12:50.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:12:53.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:12:57.959Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:13:00.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:13:02.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:13:05.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:13:08.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:13:09.721Z] 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.
[2026-02-13T01:13:09.721Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:13:09.721Z] Top recommended movies for user id 72:
[2026-02-13T01:13:09.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:13:09.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:13:09.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:13:09.721Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:13:09.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:13:09.721Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31287.261 ms) ======
[2026-02-13T01:13:10.495Z] -----------------------------------
[2026-02-13T01:13:10.495Z] renaissance-movie-lens_0_PASSED
[2026-02-13T01:13:10.495Z] -----------------------------------
[2026-02-13T01:13:10.495Z]
[2026-02-13T01:13:10.495Z] TEST TEARDOWN:
[2026-02-13T01:13:10.495Z] Nothing to be done for teardown.
[2026-02-13T01:13:10.495Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 01:13:10 2026 Epoch Time (ms): 1770945190167