renaissance-movie-lens_0
[2025-05-22T23:37:49.276Z] Running test renaissance-movie-lens_0 ...
[2025-05-22T23:37:49.276Z] ===============================================
[2025-05-22T23:37:49.276Z] renaissance-movie-lens_0 Start Time: Thu May 22 23:37:49 2025 Epoch Time (ms): 1747957069052
[2025-05-22T23:37:49.276Z] variation: NoOptions
[2025-05-22T23:37:49.276Z] JVM_OPTIONS:
[2025-05-22T23:37:49.276Z] { \
[2025-05-22T23:37:49.276Z] echo ""; echo "TEST SETUP:"; \
[2025-05-22T23:37:49.276Z] echo "Nothing to be done for setup."; \
[2025-05-22T23:37:49.277Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17479528231648/renaissance-movie-lens_0"; \
[2025-05-22T23:37:49.277Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17479528231648/renaissance-movie-lens_0"; \
[2025-05-22T23:37:49.277Z] echo ""; echo "TESTING:"; \
[2025-05-22T23:37:49.277Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17479528231648/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-22T23:37:49.277Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17479528231648/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-22T23:37:49.277Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-22T23:37:49.277Z] echo "Nothing to be done for teardown."; \
[2025-05-22T23:37:49.277Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17479528231648/TestTargetResult";
[2025-05-22T23:37:49.277Z]
[2025-05-22T23:37:49.277Z] TEST SETUP:
[2025-05-22T23:37:49.277Z] Nothing to be done for setup.
[2025-05-22T23:37:49.277Z]
[2025-05-22T23:37:49.277Z] TESTING:
[2025-05-22T23:37:50.855Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-05-22T23:37:50.855Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17479528231648/renaissance-movie-lens_0/launcher-233749-10582848407731537027/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-05-22T23:37:50.855Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-05-22T23:37:50.855Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-05-22T23:38:09.658Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-05-22T23:38:36.345Z] 23:38:34.273 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-05-22T23:38:46.254Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-22T23:38:48.722Z] Training: 60056, validation: 20285, test: 19854
[2025-05-22T23:38:48.722Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-22T23:38:49.486Z] GC before operation: completed in 798.435 ms, heap usage 134.671 MB -> 75.663 MB.
[2025-05-22T23:39:19.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:39:39.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:39:53.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:40:07.382Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:40:14.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:40:21.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:40:29.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:40:35.476Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:40:37.064Z] 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.
[2025-05-22T23:40:37.064Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:40:37.850Z] Top recommended movies for user id 72:
[2025-05-22T23:40:37.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:40:37.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:40:37.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:40:37.850Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:40:37.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:40:37.850Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (108663.824 ms) ======
[2025-05-22T23:40:37.850Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-22T23:40:39.767Z] GC before operation: completed in 849.774 ms, heap usage 424.634 MB -> 89.437 MB.
[2025-05-22T23:40:51.631Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:41:01.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:41:13.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:41:25.083Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:41:32.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:41:39.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:41:47.742Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:41:53.650Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:41:55.299Z] 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.
[2025-05-22T23:41:55.299Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:41:56.068Z] Top recommended movies for user id 72:
[2025-05-22T23:41:56.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:41:56.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:41:56.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:41:56.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:41:56.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:41:56.068Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (76857.026 ms) ======
[2025-05-22T23:41:56.068Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-22T23:41:56.840Z] GC before operation: completed in 760.227 ms, heap usage 447.874 MB -> 88.584 MB.
[2025-05-22T23:42:08.607Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:42:22.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:42:34.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:42:45.412Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:42:52.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:42:59.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:43:06.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:43:11.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:43:12.739Z] 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.
[2025-05-22T23:43:12.739Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:43:13.510Z] Top recommended movies for user id 72:
[2025-05-22T23:43:13.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:43:13.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:43:13.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:43:13.510Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:43:13.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:43:13.510Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (76703.686 ms) ======
[2025-05-22T23:43:13.510Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-22T23:43:14.281Z] GC before operation: completed in 629.385 ms, heap usage 166.225 MB -> 88.847 MB.
[2025-05-22T23:43:26.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:43:37.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:43:47.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:43:59.226Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:44:05.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:44:11.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:44:18.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:44:25.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:44:25.406Z] 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.
[2025-05-22T23:44:25.406Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:44:26.187Z] Top recommended movies for user id 72:
[2025-05-22T23:44:26.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:44:26.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:44:26.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:44:26.188Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:44:26.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:44:26.188Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (72271.782 ms) ======
[2025-05-22T23:44:26.188Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-22T23:44:26.965Z] GC before operation: completed in 679.082 ms, heap usage 456.537 MB -> 89.472 MB.
[2025-05-22T23:44:36.926Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:44:46.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:44:58.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:45:08.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:45:14.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:45:20.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:45:26.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:45:33.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:45:34.294Z] 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.
[2025-05-22T23:45:34.294Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:45:35.062Z] Top recommended movies for user id 72:
[2025-05-22T23:45:35.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:45:35.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:45:35.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:45:35.062Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:45:35.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:45:35.062Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (67947.491 ms) ======
[2025-05-22T23:45:35.062Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-22T23:45:35.831Z] GC before operation: completed in 708.823 ms, heap usage 363.802 MB -> 89.313 MB.
[2025-05-22T23:45:47.593Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:45:56.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:46:04.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:46:13.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:46:19.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:46:26.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:46:33.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:46:38.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:46:38.857Z] 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.
[2025-05-22T23:46:38.857Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:46:39.640Z] Top recommended movies for user id 72:
[2025-05-22T23:46:39.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:46:39.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:46:39.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:46:39.640Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:46:39.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:46:39.640Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (64232.303 ms) ======
[2025-05-22T23:46:39.640Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-22T23:46:40.412Z] GC before operation: completed in 703.187 ms, heap usage 114.819 MB -> 92.117 MB.
[2025-05-22T23:46:50.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:47:01.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:47:10.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:47:20.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:47:24.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:47:30.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:47:37.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:47:42.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:47:43.734Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-22T23:47:43.734Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:47:44.502Z] Top recommended movies for user id 72:
[2025-05-22T23:47:44.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:47:44.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:47:44.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:47:44.502Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:47:44.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:47:44.502Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (64130.124 ms) ======
[2025-05-22T23:47:44.502Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-22T23:47:45.278Z] GC before operation: completed in 701.181 ms, heap usage 255.337 MB -> 89.482 MB.
[2025-05-22T23:47:55.966Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:48:04.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:48:16.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:48:25.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:48:30.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:48:36.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:48:41.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:48:47.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:48:47.300Z] 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.
[2025-05-22T23:48:48.119Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:48:48.119Z] Top recommended movies for user id 72:
[2025-05-22T23:48:48.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:48:48.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:48:48.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:48:48.119Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:48:48.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:48:48.119Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (62781.144 ms) ======
[2025-05-22T23:48:48.119Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-22T23:48:50.363Z] GC before operation: completed in 694.508 ms, heap usage 515.571 MB -> 89.970 MB.
[2025-05-22T23:48:58.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:49:08.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:49:16.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:49:25.071Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:49:29.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:49:36.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:49:42.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:49:46.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:49:47.345Z] 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.
[2025-05-22T23:49:48.139Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:49:48.139Z] Top recommended movies for user id 72:
[2025-05-22T23:49:48.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:49:48.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:49:48.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:49:48.139Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:49:48.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:49:48.139Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (59639.351 ms) ======
[2025-05-22T23:49:48.139Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-22T23:49:49.828Z] GC before operation: completed in 954.539 ms, heap usage 510.593 MB -> 89.854 MB.
[2025-05-22T23:49:59.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:50:07.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:50:17.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:50:26.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:50:31.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:50:37.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:50:42.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:50:48.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:50:49.831Z] 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.
[2025-05-22T23:50:49.831Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:50:49.831Z] Top recommended movies for user id 72:
[2025-05-22T23:50:49.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:50:49.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:50:49.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:50:49.831Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:50:49.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:50:49.831Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (60591.726 ms) ======
[2025-05-22T23:50:49.831Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-22T23:50:50.626Z] GC before operation: completed in 845.433 ms, heap usage 271.145 MB -> 89.793 MB.
[2025-05-22T23:51:02.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:51:09.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:51:19.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:51:25.893Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:51:30.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:51:36.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:51:43.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:51:47.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:51:49.402Z] 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.
[2025-05-22T23:51:49.402Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:51:49.402Z] Top recommended movies for user id 72:
[2025-05-22T23:51:49.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:51:49.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:51:49.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:51:49.402Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:51:49.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:51:49.402Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (58765.498 ms) ======
[2025-05-22T23:51:49.402Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-22T23:51:50.189Z] GC before operation: completed in 790.060 ms, heap usage 283.497 MB -> 89.585 MB.
[2025-05-22T23:51:58.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:52:08.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:52:18.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:52:26.306Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:52:31.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:52:38.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:52:44.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:52:50.097Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:52:50.865Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-22T23:52:50.865Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:52:51.632Z] Top recommended movies for user id 72:
[2025-05-22T23:52:51.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:52:51.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:52:51.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:52:51.632Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:52:51.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:52:51.632Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (61211.080 ms) ======
[2025-05-22T23:52:51.632Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-22T23:52:52.406Z] GC before operation: completed in 784.431 ms, heap usage 283.446 MB -> 89.756 MB.
[2025-05-22T23:53:00.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:53:09.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:53:18.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:53:30.716Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:53:36.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:53:43.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:53:50.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:53:57.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:53:58.162Z] 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.
[2025-05-22T23:53:58.162Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:53:58.926Z] Top recommended movies for user id 72:
[2025-05-22T23:53:58.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:53:58.926Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:53:58.926Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:53:58.926Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:53:58.926Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:53:58.927Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (66223.879 ms) ======
[2025-05-22T23:53:58.927Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-22T23:53:59.704Z] GC before operation: completed in 883.695 ms, heap usage 129.952 MB -> 90.503 MB.
[2025-05-22T23:54:11.173Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:54:21.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:54:32.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:54:42.818Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:54:48.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:54:54.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:55:02.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:55:06.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:55:07.921Z] 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.
[2025-05-22T23:55:07.921Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:55:07.921Z] Top recommended movies for user id 72:
[2025-05-22T23:55:07.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:55:07.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:55:07.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:55:07.921Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:55:07.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:55:07.921Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (68634.661 ms) ======
[2025-05-22T23:55:07.921Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-22T23:55:08.688Z] GC before operation: completed in 737.010 ms, heap usage 368.294 MB -> 89.820 MB.
[2025-05-22T23:55:18.713Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:55:28.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:55:38.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:55:48.704Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:55:54.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:56:00.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:56:06.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:56:11.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:56:13.184Z] 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.
[2025-05-22T23:56:13.184Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:56:13.956Z] Top recommended movies for user id 72:
[2025-05-22T23:56:13.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:56:13.956Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:56:13.956Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:56:13.956Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:56:13.956Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:56:13.956Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (64811.817 ms) ======
[2025-05-22T23:56:13.956Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-22T23:56:14.730Z] GC before operation: completed in 683.678 ms, heap usage 112.105 MB -> 89.735 MB.
[2025-05-22T23:56:24.691Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:56:36.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:56:46.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:56:57.708Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:57:03.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:57:09.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:57:15.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:57:20.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:57:22.241Z] 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.
[2025-05-22T23:57:23.017Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:57:23.017Z] Top recommended movies for user id 72:
[2025-05-22T23:57:23.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:57:23.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:57:23.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:57:23.017Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:57:23.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:57:23.017Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (68777.445 ms) ======
[2025-05-22T23:57:23.017Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-22T23:57:23.796Z] GC before operation: completed in 719.136 ms, heap usage 97.561 MB -> 89.819 MB.
[2025-05-22T23:57:35.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:57:45.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:57:55.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:58:05.401Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:58:09.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:58:16.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:58:21.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:58:28.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:58:29.173Z] 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.
[2025-05-22T23:58:29.173Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:58:29.173Z] Top recommended movies for user id 72:
[2025-05-22T23:58:29.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:58:29.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:58:29.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:58:29.173Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:58:29.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:58:29.173Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (65539.428 ms) ======
[2025-05-22T23:58:29.173Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-22T23:58:29.940Z] GC before operation: completed in 712.180 ms, heap usage 386.824 MB -> 90.002 MB.
[2025-05-22T23:58:43.120Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:58:51.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T23:59:01.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T23:59:11.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T23:59:17.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T23:59:24.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T23:59:29.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T23:59:35.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T23:59:37.291Z] 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.
[2025-05-22T23:59:37.291Z] The best model improves the baseline by 14.52%.
[2025-05-22T23:59:37.291Z] Top recommended movies for user id 72:
[2025-05-22T23:59:37.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-22T23:59:37.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-22T23:59:37.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-22T23:59:37.291Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-22T23:59:37.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-22T23:59:37.291Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (67236.639 ms) ======
[2025-05-22T23:59:37.291Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-22T23:59:38.070Z] GC before operation: completed in 830.122 ms, heap usage 508.536 MB -> 90.054 MB.
[2025-05-22T23:59:48.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T23:59:58.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:00:10.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:00:17.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:00:22.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:00:27.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:00:31.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:00:37.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:00:38.039Z] 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.
[2025-05-23T00:00:38.039Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:00:38.809Z] Top recommended movies for user id 72:
[2025-05-23T00:00:38.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:00:38.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:00:38.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:00:38.810Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:00:38.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:00:38.810Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (60532.922 ms) ======
[2025-05-23T00:00:38.810Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-23T00:00:39.576Z] GC before operation: completed in 754.335 ms, heap usage 752.542 MB -> 93.656 MB.
[2025-05-23T00:00:50.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:00:57.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:01:07.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:01:14.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:01:20.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:01:25.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:01:31.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:01:38.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:01:38.557Z] 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.
[2025-05-23T00:01:38.557Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:01:39.319Z] Top recommended movies for user id 72:
[2025-05-23T00:01:39.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:01:39.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:01:39.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:01:39.319Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:01:39.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:01:39.320Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (59586.317 ms) ======
[2025-05-23T00:01:44.351Z] -----------------------------------
[2025-05-23T00:01:44.351Z] renaissance-movie-lens_0_PASSED
[2025-05-23T00:01:44.351Z] -----------------------------------
[2025-05-23T00:01:44.351Z]
[2025-05-23T00:01:44.351Z] TEST TEARDOWN:
[2025-05-23T00:01:44.351Z] Nothing to be done for teardown.
[2025-05-23T00:01:44.351Z] renaissance-movie-lens_0 Finish Time: Fri May 23 00:01:41 2025 Epoch Time (ms): 1747958501880