renaissance-movie-lens_0
[2026-01-18T01:49:02.246Z] Running test renaissance-movie-lens_0 ...
[2026-01-18T01:49:02.246Z] ===============================================
[2026-01-18T01:49:02.246Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 01:49:01 2026 Epoch Time (ms): 1768700941551
[2026-01-18T01:49:02.246Z] variation: NoOptions
[2026-01-18T01:49:02.246Z] JVM_OPTIONS:
[2026-01-18T01:49:02.246Z] { \
[2026-01-18T01:49:02.246Z] echo ""; echo "TEST SETUP:"; \
[2026-01-18T01:49:02.246Z] echo "Nothing to be done for setup."; \
[2026-01-18T01:49:02.246Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17687002244334/renaissance-movie-lens_0"; \
[2026-01-18T01:49:02.246Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17687002244334/renaissance-movie-lens_0"; \
[2026-01-18T01:49:02.246Z] echo ""; echo "TESTING:"; \
[2026-01-18T01:49:02.246Z] "/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_17687002244334/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-18T01:49:02.246Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17687002244334/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-18T01:49:02.246Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-18T01:49:02.246Z] echo "Nothing to be done for teardown."; \
[2026-01-18T01:49:02.246Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17687002244334/TestTargetResult";
[2026-01-18T01:49:02.246Z]
[2026-01-18T01:49:02.246Z] TEST SETUP:
[2026-01-18T01:49:02.246Z] Nothing to be done for setup.
[2026-01-18T01:49:02.246Z]
[2026-01-18T01:49:02.246Z] TESTING:
[2026-01-18T01:49:02.246Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-18T01:49:02.246Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17687002244334/renaissance-movie-lens_0/launcher-014901-6238307872945741197/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-18T01:49:02.246Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-18T01:49:02.246Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-18T01:49:06.686Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-18T01:49:12.254Z] 01:49:12.116 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-18T01:49:14.718Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-18T01:49:14.718Z] Training: 60056, validation: 20285, test: 19854
[2026-01-18T01:49:14.718Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-18T01:49:14.718Z] GC before operation: completed in 127.454 ms, heap usage 432.428 MB -> 75.804 MB.
[2026-01-18T01:49:21.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:49:24.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:49:28.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:49:31.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:49:32.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:49:35.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:49:37.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:49:38.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:49:38.602Z] 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.
[2026-01-18T01:49:38.602Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:49:38.602Z] Top recommended movies for user id 72:
[2026-01-18T01:49:38.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:49:38.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:49:38.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:49:38.602Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:49:38.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:49:38.602Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23838.383 ms) ======
[2026-01-18T01:49:38.602Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-18T01:49:39.363Z] GC before operation: completed in 122.890 ms, heap usage 259.818 MB -> 91.248 MB.
[2026-01-18T01:49:41.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:49:44.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:49:46.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:49:49.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:49:50.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:49:52.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:49:53.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:49:55.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:49:56.271Z] 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.
[2026-01-18T01:49:56.271Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:49:56.271Z] Top recommended movies for user id 72:
[2026-01-18T01:49:56.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:49:56.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:49:56.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:49:56.271Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:49:56.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:49:56.271Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17191.779 ms) ======
[2026-01-18T01:49:56.271Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-18T01:49:56.271Z] GC before operation: completed in 110.312 ms, heap usage 374.259 MB -> 88.703 MB.
[2026-01-18T01:49:58.728Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:50:02.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:50:04.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:50:07.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:50:08.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:50:09.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:50:11.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:50:12.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:50:13.614Z] 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.
[2026-01-18T01:50:13.614Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:50:13.614Z] Top recommended movies for user id 72:
[2026-01-18T01:50:13.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:50:13.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:50:13.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:50:13.615Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:50:13.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:50:13.615Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17258.513 ms) ======
[2026-01-18T01:50:13.615Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-18T01:50:13.615Z] GC before operation: completed in 113.251 ms, heap usage 98.077 MB -> 88.935 MB.
[2026-01-18T01:50:16.078Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:50:18.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:50:20.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:50:23.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:50:25.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:50:26.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:50:29.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:50:29.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:50:30.586Z] 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.
[2026-01-18T01:50:30.586Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:50:30.586Z] Top recommended movies for user id 72:
[2026-01-18T01:50:30.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:50:30.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:50:30.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:50:30.586Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:50:30.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:50:30.586Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16834.596 ms) ======
[2026-01-18T01:50:30.586Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-18T01:50:30.586Z] GC before operation: completed in 123.391 ms, heap usage 124.655 MB -> 89.311 MB.
[2026-01-18T01:50:33.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:50:35.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:50:37.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:50:40.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:50:41.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:50:43.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:50:45.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:50:46.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:50:46.740Z] 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.
[2026-01-18T01:50:46.740Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:50:47.506Z] Top recommended movies for user id 72:
[2026-01-18T01:50:47.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:50:47.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:50:47.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:50:47.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:50:47.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:50:47.506Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16554.557 ms) ======
[2026-01-18T01:50:47.506Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-18T01:50:47.506Z] GC before operation: completed in 120.541 ms, heap usage 338.967 MB -> 89.475 MB.
[2026-01-18T01:50:49.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:50:52.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:50:54.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:50:56.951Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:50:58.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:51:00.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:51:01.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:51:03.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:51:03.263Z] 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.
[2026-01-18T01:51:03.263Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:51:03.263Z] Top recommended movies for user id 72:
[2026-01-18T01:51:03.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:51:03.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:51:03.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:51:03.263Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:51:03.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:51:03.263Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16026.396 ms) ======
[2026-01-18T01:51:03.263Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-18T01:51:03.263Z] GC before operation: completed in 108.969 ms, heap usage 369.028 MB -> 90.007 MB.
[2026-01-18T01:51:05.711Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:51:08.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:51:10.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:51:13.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:51:13.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:51:15.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:51:17.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:51:18.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:51:18.583Z] 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.
[2026-01-18T01:51:18.583Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:51:18.583Z] Top recommended movies for user id 72:
[2026-01-18T01:51:18.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:51:18.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:51:18.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:51:18.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:51:18.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:51:18.583Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15171.573 ms) ======
[2026-01-18T01:51:18.583Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-18T01:51:18.583Z] GC before operation: completed in 124.923 ms, heap usage 363.938 MB -> 89.831 MB.
[2026-01-18T01:51:21.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:51:23.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:51:25.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:51:27.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:51:28.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:51:30.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:51:31.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:51:32.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:51:32.383Z] 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.
[2026-01-18T01:51:32.383Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:51:33.145Z] Top recommended movies for user id 72:
[2026-01-18T01:51:33.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:51:33.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:51:33.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:51:33.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:51:33.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:51:33.146Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14098.690 ms) ======
[2026-01-18T01:51:33.146Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-18T01:51:33.146Z] GC before operation: completed in 109.435 ms, heap usage 122.766 MB -> 91.184 MB.
[2026-01-18T01:51:35.611Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:51:37.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:51:40.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:51:41.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:51:43.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:51:44.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:51:46.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:51:47.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:51:48.068Z] 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.
[2026-01-18T01:51:48.068Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:51:48.068Z] Top recommended movies for user id 72:
[2026-01-18T01:51:48.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:51:48.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:51:48.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:51:48.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:51:48.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:51:48.068Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14965.958 ms) ======
[2026-01-18T01:51:48.068Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-18T01:51:48.068Z] GC before operation: completed in 104.025 ms, heap usage 517.897 MB -> 90.139 MB.
[2026-01-18T01:51:50.528Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:51:52.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:51:54.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:51:57.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:51:57.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:51:59.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:52:00.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:52:01.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:52:01.700Z] 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.
[2026-01-18T01:52:01.700Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:52:02.464Z] Top recommended movies for user id 72:
[2026-01-18T01:52:02.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:52:02.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:52:02.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:52:02.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:52:02.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:52:02.465Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14112.790 ms) ======
[2026-01-18T01:52:02.465Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-18T01:52:02.465Z] GC before operation: completed in 109.186 ms, heap usage 191.362 MB -> 89.964 MB.
[2026-01-18T01:52:04.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:52:06.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:52:09.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:52:11.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:52:12.290Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:52:13.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:52:15.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:52:17.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:52:17.054Z] 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.
[2026-01-18T01:52:17.054Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:52:17.054Z] Top recommended movies for user id 72:
[2026-01-18T01:52:17.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:52:17.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:52:17.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:52:17.054Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:52:17.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:52:17.054Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14855.871 ms) ======
[2026-01-18T01:52:17.054Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-18T01:52:17.054Z] GC before operation: completed in 112.894 ms, heap usage 490.235 MB -> 90.060 MB.
[2026-01-18T01:52:19.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:52:22.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:52:23.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:52:26.248Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:52:27.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:52:28.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:52:30.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:52:31.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:52:31.755Z] 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.
[2026-01-18T01:52:31.755Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:52:31.755Z] Top recommended movies for user id 72:
[2026-01-18T01:52:31.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:52:31.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:52:31.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:52:31.755Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:52:31.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:52:31.755Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14855.763 ms) ======
[2026-01-18T01:52:31.755Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-18T01:52:32.518Z] GC before operation: completed in 104.882 ms, heap usage 123.287 MB -> 89.834 MB.
[2026-01-18T01:52:34.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:52:36.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:52:38.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:52:41.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:52:43.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:52:44.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:52:45.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:52:46.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:52:46.945Z] 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.
[2026-01-18T01:52:46.945Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:52:47.705Z] Top recommended movies for user id 72:
[2026-01-18T01:52:47.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:52:47.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:52:47.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:52:47.705Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:52:47.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:52:47.705Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15221.617 ms) ======
[2026-01-18T01:52:47.705Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-18T01:52:47.705Z] GC before operation: completed in 118.828 ms, heap usage 219.081 MB -> 89.965 MB.
[2026-01-18T01:52:50.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:52:51.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:52:54.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:52:56.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:52:58.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:52:58.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:53:00.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:53:01.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:53:02.069Z] 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.
[2026-01-18T01:53:02.069Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:53:02.069Z] Top recommended movies for user id 72:
[2026-01-18T01:53:02.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:53:02.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:53:02.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:53:02.069Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:53:02.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:53:02.069Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14307.817 ms) ======
[2026-01-18T01:53:02.069Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-18T01:53:02.069Z] GC before operation: completed in 117.795 ms, heap usage 535.416 MB -> 90.260 MB.
[2026-01-18T01:53:05.032Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:53:06.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:53:09.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:53:10.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:53:12.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:53:12.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:53:14.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:53:16.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:53:16.153Z] 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.
[2026-01-18T01:53:16.153Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:53:16.153Z] Top recommended movies for user id 72:
[2026-01-18T01:53:16.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:53:16.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:53:16.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:53:16.153Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:53:16.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:53:16.153Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14140.437 ms) ======
[2026-01-18T01:53:16.153Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-18T01:53:16.153Z] GC before operation: completed in 107.676 ms, heap usage 487.849 MB -> 92.285 MB.
[2026-01-18T01:53:18.607Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:53:20.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:53:22.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:53:24.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:53:25.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:53:27.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:53:28.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:53:29.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:53:29.747Z] 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.
[2026-01-18T01:53:29.747Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:53:30.509Z] Top recommended movies for user id 72:
[2026-01-18T01:53:30.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:53:30.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:53:30.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:53:30.509Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:53:30.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:53:30.509Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13983.194 ms) ======
[2026-01-18T01:53:30.509Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-18T01:53:30.509Z] GC before operation: completed in 103.494 ms, heap usage 369.773 MB -> 90.202 MB.
[2026-01-18T01:53:32.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:53:34.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:53:37.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:53:39.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:53:41.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:53:41.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:53:43.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:53:44.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:53:44.996Z] 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.
[2026-01-18T01:53:44.996Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:53:44.996Z] Top recommended movies for user id 72:
[2026-01-18T01:53:44.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:53:44.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:53:44.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:53:44.996Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:53:44.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:53:44.996Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14789.931 ms) ======
[2026-01-18T01:53:44.996Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-18T01:53:44.996Z] GC before operation: completed in 105.880 ms, heap usage 394.395 MB -> 90.306 MB.
[2026-01-18T01:53:47.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:53:50.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:53:52.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:53:54.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:53:56.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:53:57.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:53:58.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:53:59.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:53:59.968Z] 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.
[2026-01-18T01:53:59.968Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:53:59.968Z] Top recommended movies for user id 72:
[2026-01-18T01:53:59.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:53:59.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:53:59.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:53:59.968Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:53:59.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:53:59.968Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15074.983 ms) ======
[2026-01-18T01:53:59.968Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-18T01:54:00.734Z] GC before operation: completed in 112.777 ms, heap usage 117.584 MB -> 89.707 MB.
[2026-01-18T01:54:02.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:54:04.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:54:06.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:54:08.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:54:09.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:54:11.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:54:12.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:54:13.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:54:14.286Z] 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.
[2026-01-18T01:54:14.286Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:54:14.286Z] Top recommended movies for user id 72:
[2026-01-18T01:54:14.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:54:14.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:54:14.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:54:14.286Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:54:14.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:54:14.286Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13731.730 ms) ======
[2026-01-18T01:54:14.286Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-18T01:54:14.286Z] GC before operation: completed in 119.282 ms, heap usage 539.133 MB -> 93.710 MB.
[2026-01-18T01:54:16.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:54:18.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:54:20.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:54:23.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:54:24.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:54:25.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:54:26.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:54:27.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:54:27.918Z] 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.
[2026-01-18T01:54:27.918Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:54:27.918Z] Top recommended movies for user id 72:
[2026-01-18T01:54:27.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:54:27.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:54:27.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:54:27.918Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:54:27.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:54:27.918Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14051.350 ms) ======
[2026-01-18T01:54:28.680Z] -----------------------------------
[2026-01-18T01:54:28.680Z] renaissance-movie-lens_0_PASSED
[2026-01-18T01:54:28.680Z] -----------------------------------
[2026-01-18T01:54:28.680Z]
[2026-01-18T01:54:28.680Z] TEST TEARDOWN:
[2026-01-18T01:54:28.680Z] Nothing to be done for teardown.
[2026-01-18T01:54:28.680Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 01:54:28 2026 Epoch Time (ms): 1768701268286