renaissance-movie-lens_0
[2025-06-08T00:01:41.236Z] Running test renaissance-movie-lens_0 ...
[2025-06-08T00:01:41.236Z] ===============================================
[2025-06-08T00:01:41.237Z] renaissance-movie-lens_0 Start Time: Sun Jun 8 00:01:39 2025 Epoch Time (ms): 1749340899935
[2025-06-08T00:01:41.237Z] variation: NoOptions
[2025-06-08T00:01:41.237Z] JVM_OPTIONS:
[2025-06-08T00:01:41.237Z] { \
[2025-06-08T00:01:41.237Z] echo ""; echo "TEST SETUP:"; \
[2025-06-08T00:01:41.237Z] echo "Nothing to be done for setup."; \
[2025-06-08T00:01:41.237Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17493350582993/renaissance-movie-lens_0"; \
[2025-06-08T00:01:41.237Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17493350582993/renaissance-movie-lens_0"; \
[2025-06-08T00:01:41.237Z] echo ""; echo "TESTING:"; \
[2025-06-08T00:01:41.237Z] "/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_17493350582993/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-08T00:01:41.237Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17493350582993/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-08T00:01:41.237Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-08T00:01:41.237Z] echo "Nothing to be done for teardown."; \
[2025-06-08T00:01:41.237Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17493350582993/TestTargetResult";
[2025-06-08T00:01:41.237Z]
[2025-06-08T00:01:41.237Z] TEST SETUP:
[2025-06-08T00:01:41.237Z] Nothing to be done for setup.
[2025-06-08T00:01:41.237Z]
[2025-06-08T00:01:41.237Z] TESTING:
[2025-06-08T00:01:42.063Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-08T00:01:42.063Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17493350582993/renaissance-movie-lens_0/launcher-000140-7769303594497686066/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-08T00:01:42.063Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-08T00:01:42.063Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-08T00:02:01.571Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-08T00:02:28.378Z] 00:02:25.211 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.
[2025-06-08T00:02:35.608Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-08T00:02:37.295Z] Training: 60056, validation: 20285, test: 19854
[2025-06-08T00:02:37.295Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-08T00:02:38.108Z] GC before operation: completed in 494.135 ms, heap usage 400.746 MB -> 75.734 MB.
[2025-06-08T00:03:04.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:03:21.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:03:34.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:03:44.428Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:03:50.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:03:58.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:04:03.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:04:10.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:04:10.860Z] 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.
[2025-06-08T00:04:10.860Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:04:11.674Z] Top recommended movies for user id 72:
[2025-06-08T00:04:11.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:04:11.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:04:11.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:04:11.674Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:04:11.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:04:11.674Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (93728.809 ms) ======
[2025-06-08T00:04:11.674Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-08T00:04:12.483Z] GC before operation: completed in 711.824 ms, heap usage 200.679 MB -> 93.948 MB.
[2025-06-08T00:04:24.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:04:34.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:04:47.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:04:55.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:05:02.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:05:08.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:05:13.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:05:19.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:05:20.610Z] 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.
[2025-06-08T00:05:20.610Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:05:21.464Z] Top recommended movies for user id 72:
[2025-06-08T00:05:21.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:05:21.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:05:21.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:05:21.464Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:05:21.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:05:21.464Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (68724.988 ms) ======
[2025-06-08T00:05:21.464Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-08T00:05:21.464Z] GC before operation: completed in 682.584 ms, heap usage 525.530 MB -> 88.659 MB.
[2025-06-08T00:05:33.613Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:05:42.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:05:52.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:06:03.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:06:07.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:06:15.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:06:19.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:06:25.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:06:25.703Z] 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.
[2025-06-08T00:06:25.703Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:06:26.519Z] Top recommended movies for user id 72:
[2025-06-08T00:06:26.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:06:26.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:06:26.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:06:26.519Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:06:26.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:06:26.519Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64967.205 ms) ======
[2025-06-08T00:06:26.519Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-08T00:06:27.342Z] GC before operation: completed in 374.580 ms, heap usage 130.682 MB -> 89.611 MB.
[2025-06-08T00:06:36.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:06:46.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:06:57.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:07:07.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:07:14.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:07:20.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:07:27.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:07:32.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:07:33.435Z] 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.
[2025-06-08T00:07:33.435Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:07:34.839Z] Top recommended movies for user id 72:
[2025-06-08T00:07:34.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:07:34.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:07:34.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:07:34.839Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:07:34.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:07:34.839Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (67077.143 ms) ======
[2025-06-08T00:07:34.839Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-08T00:07:34.839Z] GC before operation: completed in 578.601 ms, heap usage 454.290 MB -> 89.567 MB.
[2025-06-08T00:07:43.528Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:07:52.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:08:02.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:08:12.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:08:18.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:08:24.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:08:30.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:08:36.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:08:36.884Z] 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.
[2025-06-08T00:08:36.884Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:08:37.693Z] Top recommended movies for user id 72:
[2025-06-08T00:08:37.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:08:37.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:08:37.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:08:37.693Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:08:37.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:08:37.693Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (62953.103 ms) ======
[2025-06-08T00:08:37.693Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-08T00:08:38.503Z] GC before operation: completed in 609.948 ms, heap usage 256.819 MB -> 89.245 MB.
[2025-06-08T00:08:48.794Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:08:56.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:09:04.750Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:09:13.982Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:09:18.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:09:24.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:09:30.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:09:35.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:09:36.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-08T00:09:36.267Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:09:36.267Z] Top recommended movies for user id 72:
[2025-06-08T00:09:36.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:09:36.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:09:36.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:09:36.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:09:36.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:09:36.267Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58284.624 ms) ======
[2025-06-08T00:09:36.267Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-08T00:09:37.095Z] GC before operation: completed in 449.662 ms, heap usage 182.918 MB -> 90.486 MB.
[2025-06-08T00:09:47.364Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:09:55.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:10:06.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:10:14.906Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:10:19.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:10:25.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:10:30.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:10:34.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:10:35.533Z] 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.
[2025-06-08T00:10:36.343Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:10:36.343Z] Top recommended movies for user id 72:
[2025-06-08T00:10:36.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:10:36.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:10:36.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:10:36.343Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:10:36.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:10:36.343Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (59272.022 ms) ======
[2025-06-08T00:10:36.343Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-08T00:10:37.164Z] GC before operation: completed in 513.946 ms, heap usage 538.010 MB -> 89.928 MB.
[2025-06-08T00:10:46.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:10:53.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:11:03.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:11:12.253Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:11:16.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:11:20.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:11:26.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:11:30.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:11:30.963Z] 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.
[2025-06-08T00:11:30.963Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:11:31.814Z] Top recommended movies for user id 72:
[2025-06-08T00:11:31.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:11:31.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:11:31.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:11:31.815Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:11:31.815Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:11:31.815Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54675.075 ms) ======
[2025-06-08T00:11:31.815Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-08T00:11:31.815Z] GC before operation: completed in 422.559 ms, heap usage 616.385 MB -> 93.483 MB.
[2025-06-08T00:11:40.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:11:48.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:11:56.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:12:03.842Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:12:07.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:12:12.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:12:16.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:12:21.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:12:22.697Z] 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.
[2025-06-08T00:12:22.697Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:12:23.506Z] Top recommended movies for user id 72:
[2025-06-08T00:12:23.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:12:23.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:12:23.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:12:23.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:12:23.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:12:23.506Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51479.565 ms) ======
[2025-06-08T00:12:23.506Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-08T00:12:23.506Z] GC before operation: completed in 423.931 ms, heap usage 696.793 MB -> 93.455 MB.
[2025-06-08T00:12:33.746Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:12:43.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:12:51.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:12:58.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:13:04.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:13:08.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:13:14.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:13:18.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:13:19.771Z] 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.
[2025-06-08T00:13:19.771Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:13:20.586Z] Top recommended movies for user id 72:
[2025-06-08T00:13:20.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:13:20.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:13:20.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:13:20.586Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:13:20.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:13:20.586Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (56531.611 ms) ======
[2025-06-08T00:13:20.586Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-08T00:13:20.586Z] GC before operation: completed in 484.751 ms, heap usage 177.165 MB -> 92.440 MB.
[2025-06-08T00:13:29.245Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:13:38.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:13:46.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:13:55.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:14:00.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:14:06.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:14:12.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:14:18.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:14:18.483Z] 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.
[2025-06-08T00:14:18.483Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:14:19.299Z] Top recommended movies for user id 72:
[2025-06-08T00:14:19.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:14:19.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:14:19.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:14:19.299Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:14:19.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:14:19.299Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (58133.464 ms) ======
[2025-06-08T00:14:19.299Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-08T00:14:19.299Z] GC before operation: completed in 542.879 ms, heap usage 321.135 MB -> 89.667 MB.
[2025-06-08T00:14:29.672Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:14:38.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:14:49.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:14:58.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:15:04.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:15:08.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:15:14.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:15:20.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:15:20.556Z] 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.
[2025-06-08T00:15:20.556Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:15:21.372Z] Top recommended movies for user id 72:
[2025-06-08T00:15:21.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:15:21.372Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:15:21.372Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:15:21.372Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:15:21.372Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:15:21.372Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (61765.085 ms) ======
[2025-06-08T00:15:21.372Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-08T00:15:22.182Z] GC before operation: completed in 499.228 ms, heap usage 174.403 MB -> 91.487 MB.
[2025-06-08T00:15:30.807Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:15:39.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:15:48.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:15:55.677Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:16:01.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:16:06.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:16:12.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:16:16.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:16:17.662Z] 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.
[2025-06-08T00:16:17.662Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:16:17.662Z] Top recommended movies for user id 72:
[2025-06-08T00:16:17.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:16:17.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:16:17.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:16:17.662Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:16:17.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:16:17.662Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56042.233 ms) ======
[2025-06-08T00:16:17.662Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-08T00:16:18.473Z] GC before operation: completed in 381.253 ms, heap usage 289.334 MB -> 90.165 MB.
[2025-06-08T00:16:28.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:16:39.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:16:46.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:16:55.023Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:16:59.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:17:03.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:17:08.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:17:12.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:17:14.043Z] 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.
[2025-06-08T00:17:14.043Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:17:14.043Z] Top recommended movies for user id 72:
[2025-06-08T00:17:14.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:17:14.043Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:17:14.043Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:17:14.043Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:17:14.043Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:17:14.043Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (56158.604 ms) ======
[2025-06-08T00:17:14.043Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-08T00:17:14.867Z] GC before operation: completed in 483.705 ms, heap usage 537.182 MB -> 90.062 MB.
[2025-06-08T00:17:23.617Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:17:30.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:17:39.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:17:46.806Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:17:51.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:17:56.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:18:02.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:18:06.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:18:07.223Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-08T00:18:07.223Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:18:07.223Z] Top recommended movies for user id 72:
[2025-06-08T00:18:07.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:18:07.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:18:07.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:18:07.223Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:18:07.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:18:07.223Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (52607.424 ms) ======
[2025-06-08T00:18:07.223Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-08T00:18:08.033Z] GC before operation: completed in 554.326 ms, heap usage 162.558 MB -> 89.872 MB.
[2025-06-08T00:18:16.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:18:25.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:18:34.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:18:42.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:18:47.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:18:52.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:18:58.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:19:03.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:19:03.576Z] 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.
[2025-06-08T00:19:03.576Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:19:04.406Z] Top recommended movies for user id 72:
[2025-06-08T00:19:04.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:19:04.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:19:04.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:19:04.406Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:19:04.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:19:04.406Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (56217.664 ms) ======
[2025-06-08T00:19:04.406Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-08T00:19:04.406Z] GC before operation: completed in 492.170 ms, heap usage 545.930 MB -> 93.375 MB.
[2025-06-08T00:19:13.114Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:19:21.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:19:30.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:19:39.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:19:44.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:19:50.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:19:55.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:20:02.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:20:03.247Z] 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.
[2025-06-08T00:20:03.247Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:20:03.247Z] Top recommended movies for user id 72:
[2025-06-08T00:20:03.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:20:03.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:20:03.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:20:03.247Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:20:03.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:20:03.247Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (58755.921 ms) ======
[2025-06-08T00:20:03.247Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-08T00:20:04.054Z] GC before operation: completed in 582.430 ms, heap usage 404.791 MB -> 90.041 MB.
[2025-06-08T00:20:12.680Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:20:21.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:20:30.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:20:39.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:20:43.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:20:49.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:20:54.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:21:00.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:21:00.523Z] 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.
[2025-06-08T00:21:01.349Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:21:01.349Z] Top recommended movies for user id 72:
[2025-06-08T00:21:01.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:21:01.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:21:01.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:21:01.349Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:21:01.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:21:01.349Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (57225.243 ms) ======
[2025-06-08T00:21:01.349Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-08T00:21:02.154Z] GC before operation: completed in 525.815 ms, heap usage 428.763 MB -> 89.899 MB.
[2025-06-08T00:21:10.811Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:21:20.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:21:28.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:21:37.387Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:21:42.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:21:46.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:21:51.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:21:57.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:21:58.260Z] 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.
[2025-06-08T00:21:58.260Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:21:58.260Z] Top recommended movies for user id 72:
[2025-06-08T00:21:58.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:21:58.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:21:58.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:21:58.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:21:58.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:21:58.260Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (56629.359 ms) ======
[2025-06-08T00:21:58.260Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-08T00:21:59.076Z] GC before operation: completed in 750.001 ms, heap usage 369.210 MB -> 90.035 MB.
[2025-06-08T00:22:07.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T00:22:18.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T00:22:26.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T00:22:35.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T00:22:40.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T00:22:45.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T00:22:50.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T00:22:56.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T00:22:56.949Z] 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.
[2025-06-08T00:22:56.949Z] The best model improves the baseline by 14.52%.
[2025-06-08T00:22:56.949Z] Top recommended movies for user id 72:
[2025-06-08T00:22:56.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T00:22:56.949Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T00:22:56.949Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T00:22:56.949Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T00:22:56.949Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T00:22:56.949Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (57728.244 ms) ======
[2025-06-08T00:23:00.558Z] -----------------------------------
[2025-06-08T00:23:00.558Z] renaissance-movie-lens_0_PASSED
[2025-06-08T00:23:00.558Z] -----------------------------------
[2025-06-08T00:23:00.558Z]
[2025-06-08T00:23:00.558Z] TEST TEARDOWN:
[2025-06-08T00:23:00.558Z] Nothing to be done for teardown.
[2025-06-08T00:23:00.558Z] renaissance-movie-lens_0 Finish Time: Sun Jun 8 00:23:00 2025 Epoch Time (ms): 1749342180299