renaissance-movie-lens_0
[2025-10-17T18:34:50.693Z] Running test renaissance-movie-lens_0 ...
[2025-10-17T18:34:50.693Z] ===============================================
[2025-10-17T18:34:50.693Z] renaissance-movie-lens_0 Start Time: Fri Oct 17 18:34:50 2025 Epoch Time (ms): 1760726090075
[2025-10-17T18:34:50.693Z] variation: NoOptions
[2025-10-17T18:34:50.693Z] JVM_OPTIONS:
[2025-10-17T18:34:50.693Z] { \
[2025-10-17T18:34:50.693Z] echo ""; echo "TEST SETUP:"; \
[2025-10-17T18:34:50.693Z] echo "Nothing to be done for setup."; \
[2025-10-17T18:34:50.693Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17607249122968/renaissance-movie-lens_0"; \
[2025-10-17T18:34:50.693Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17607249122968/renaissance-movie-lens_0"; \
[2025-10-17T18:34:50.693Z] echo ""; echo "TESTING:"; \
[2025-10-17T18:34:50.693Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17607249122968/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-17T18:34:50.693Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17607249122968/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-17T18:34:50.693Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-17T18:34:50.693Z] echo "Nothing to be done for teardown."; \
[2025-10-17T18:34:50.693Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17607249122968/TestTargetResult";
[2025-10-17T18:34:50.693Z]
[2025-10-17T18:34:50.693Z] TEST SETUP:
[2025-10-17T18:34:50.693Z] Nothing to be done for setup.
[2025-10-17T18:34:50.693Z]
[2025-10-17T18:34:50.693Z] TESTING:
[2025-10-17T18:34:50.693Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-17T18:34:50.693Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17607249122968/renaissance-movie-lens_0/launcher-183450-7668021522890569651/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-17T18:34:50.693Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-17T18:34:50.693Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-17T18:34:56.149Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-17T18:35:03.382Z] 18:35:01.912 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.
[2025-10-17T18:35:04.935Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-17T18:35:04.935Z] Training: 60056, validation: 20285, test: 19854
[2025-10-17T18:35:04.935Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-17T18:35:04.935Z] GC before operation: completed in 124.439 ms, heap usage 185.990 MB -> 75.658 MB.
[2025-10-17T18:35:11.675Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:35:16.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:35:19.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:35:21.909Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:35:25.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:35:27.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:35:29.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:35:31.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:35:31.213Z] 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.
[2025-10-17T18:35:31.213Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:35:31.962Z] Top recommended movies for user id 72:
[2025-10-17T18:35:31.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:35:31.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:35:31.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:35:31.962Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:35:31.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:35:31.962Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26489.467 ms) ======
[2025-10-17T18:35:31.962Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-17T18:35:31.962Z] GC before operation: completed in 133.275 ms, heap usage 377.369 MB -> 86.550 MB.
[2025-10-17T18:35:35.304Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:35:37.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:35:41.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:35:43.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:35:45.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:35:47.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:35:48.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:35:50.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:35:50.536Z] 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.
[2025-10-17T18:35:50.536Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:35:50.536Z] Top recommended movies for user id 72:
[2025-10-17T18:35:50.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:35:50.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:35:50.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:35:50.536Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:35:50.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:35:50.536Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18962.483 ms) ======
[2025-10-17T18:35:50.536Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-17T18:35:50.536Z] GC before operation: completed in 127.845 ms, heap usage 105.073 MB -> 88.333 MB.
[2025-10-17T18:35:54.007Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:35:56.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:35:58.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:36:02.180Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:36:02.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:36:05.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:36:06.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:36:08.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:36:08.423Z] 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.
[2025-10-17T18:36:08.423Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:36:09.168Z] Top recommended movies for user id 72:
[2025-10-17T18:36:09.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:36:09.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:36:09.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:36:09.168Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:36:09.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:36:09.168Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17899.115 ms) ======
[2025-10-17T18:36:09.168Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-17T18:36:09.168Z] GC before operation: completed in 126.509 ms, heap usage 186.391 MB -> 89.065 MB.
[2025-10-17T18:36:11.578Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:36:13.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:36:16.387Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:36:18.794Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:36:20.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:36:21.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:36:23.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:36:24.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:36:24.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-17T18:36:24.998Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:36:25.748Z] Top recommended movies for user id 72:
[2025-10-17T18:36:25.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:36:25.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:36:25.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:36:25.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:36:25.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:36:25.748Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16455.269 ms) ======
[2025-10-17T18:36:25.748Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-17T18:36:25.748Z] GC before operation: completed in 141.155 ms, heap usage 282.436 MB -> 91.264 MB.
[2025-10-17T18:36:28.157Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:36:30.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:36:32.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:36:35.883Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:36:37.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:36:38.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:36:39.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:36:41.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:36:42.037Z] 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.
[2025-10-17T18:36:42.037Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:36:42.037Z] Top recommended movies for user id 72:
[2025-10-17T18:36:42.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:36:42.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:36:42.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:36:42.037Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:36:42.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:36:42.037Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16320.284 ms) ======
[2025-10-17T18:36:42.037Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-17T18:36:42.037Z] GC before operation: completed in 131.216 ms, heap usage 162.887 MB -> 89.226 MB.
[2025-10-17T18:36:44.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:36:46.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:36:49.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:36:51.670Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:36:53.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:36:54.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:36:56.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:36:57.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:36:57.860Z] 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.
[2025-10-17T18:36:57.860Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:36:57.860Z] Top recommended movies for user id 72:
[2025-10-17T18:36:57.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:36:57.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:36:57.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:36:57.860Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:36:57.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:36:57.860Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15744.752 ms) ======
[2025-10-17T18:36:57.860Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-17T18:36:57.860Z] GC before operation: completed in 132.324 ms, heap usage 746.344 MB -> 93.586 MB.
[2025-10-17T18:37:00.260Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:37:02.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:37:05.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:37:07.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:37:09.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:37:10.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:37:12.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:37:13.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:37:13.696Z] 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.
[2025-10-17T18:37:13.696Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:37:14.441Z] Top recommended movies for user id 72:
[2025-10-17T18:37:14.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:37:14.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:37:14.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:37:14.441Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:37:14.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:37:14.441Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16239.482 ms) ======
[2025-10-17T18:37:14.441Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-17T18:37:14.441Z] GC before operation: completed in 118.961 ms, heap usage 371.698 MB -> 89.824 MB.
[2025-10-17T18:37:16.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:37:19.639Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:37:22.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:37:24.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:37:26.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:37:27.559Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:37:29.110Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:37:30.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:37:30.666Z] 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.
[2025-10-17T18:37:30.666Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:37:30.666Z] Top recommended movies for user id 72:
[2025-10-17T18:37:30.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:37:30.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:37:30.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:37:30.666Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:37:30.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:37:30.666Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16725.901 ms) ======
[2025-10-17T18:37:30.666Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-17T18:37:31.412Z] GC before operation: completed in 114.955 ms, heap usage 115.816 MB -> 89.765 MB.
[2025-10-17T18:37:33.821Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:37:36.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:37:38.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:37:41.051Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:37:41.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:37:43.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:37:44.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:37:46.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:37:46.452Z] 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.
[2025-10-17T18:37:46.452Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:37:46.452Z] Top recommended movies for user id 72:
[2025-10-17T18:37:46.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:37:46.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:37:46.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:37:46.452Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:37:46.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:37:46.452Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15683.635 ms) ======
[2025-10-17T18:37:46.452Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-17T18:37:47.198Z] GC before operation: completed in 125.128 ms, heap usage 237.753 MB -> 89.748 MB.
[2025-10-17T18:37:49.603Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:37:52.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:37:54.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:37:55.982Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:37:57.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:37:59.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:38:00.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:38:01.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:38:02.607Z] 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.
[2025-10-17T18:38:02.607Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:38:02.607Z] Top recommended movies for user id 72:
[2025-10-17T18:38:02.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:38:02.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:38:02.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:38:02.607Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:38:02.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:38:02.607Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15207.139 ms) ======
[2025-10-17T18:38:02.607Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-17T18:38:02.607Z] GC before operation: completed in 125.787 ms, heap usage 551.682 MB -> 93.544 MB.
[2025-10-17T18:38:05.029Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:38:06.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:38:08.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:38:11.392Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:38:12.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:38:14.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:38:16.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:38:17.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:38:17.588Z] 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.
[2025-10-17T18:38:17.588Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:38:17.588Z] Top recommended movies for user id 72:
[2025-10-17T18:38:17.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:38:17.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:38:17.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:38:17.588Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:38:17.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:38:17.588Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15515.672 ms) ======
[2025-10-17T18:38:17.588Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-17T18:38:17.588Z] GC before operation: completed in 119.023 ms, heap usage 379.579 MB -> 89.910 MB.
[2025-10-17T18:38:19.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:38:22.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:38:24.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:38:28.160Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:38:28.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:38:30.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:38:32.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:38:33.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:38:33.550Z] 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.
[2025-10-17T18:38:33.550Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:38:34.297Z] Top recommended movies for user id 72:
[2025-10-17T18:38:34.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:38:34.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:38:34.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:38:34.297Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:38:34.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:38:34.297Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16134.722 ms) ======
[2025-10-17T18:38:34.297Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-17T18:38:34.297Z] GC before operation: completed in 117.298 ms, heap usage 377.330 MB -> 90.162 MB.
[2025-10-17T18:38:36.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:38:39.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:38:41.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:38:43.998Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:38:45.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:38:47.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:38:49.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:38:49.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:38:49.892Z] 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.
[2025-10-17T18:38:49.892Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:38:49.892Z] Top recommended movies for user id 72:
[2025-10-17T18:38:49.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:38:49.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:38:49.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:38:49.892Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:38:49.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:38:49.892Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16154.006 ms) ======
[2025-10-17T18:38:49.892Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-17T18:38:50.636Z] GC before operation: completed in 120.514 ms, heap usage 371.641 MB -> 90.288 MB.
[2025-10-17T18:38:53.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:38:55.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:38:57.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:38:59.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:39:00.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:39:02.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:39:04.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:39:04.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:39:05.547Z] 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.
[2025-10-17T18:39:05.547Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:39:05.547Z] Top recommended movies for user id 72:
[2025-10-17T18:39:05.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:39:05.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:39:05.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:39:05.547Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:39:05.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:39:05.547Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15031.289 ms) ======
[2025-10-17T18:39:05.547Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-17T18:39:05.547Z] GC before operation: completed in 133.850 ms, heap usage 623.070 MB -> 93.657 MB.
[2025-10-17T18:39:07.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:39:10.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:39:12.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:39:15.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:39:16.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:39:18.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:39:19.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:39:21.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:39:21.394Z] 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.
[2025-10-17T18:39:21.394Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:39:21.394Z] Top recommended movies for user id 72:
[2025-10-17T18:39:21.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:39:21.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:39:21.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:39:21.394Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:39:21.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:39:21.394Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15960.780 ms) ======
[2025-10-17T18:39:21.394Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-17T18:39:21.394Z] GC before operation: completed in 118.201 ms, heap usage 379.317 MB -> 90.304 MB.
[2025-10-17T18:39:23.794Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:39:26.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:39:29.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:39:31.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:39:33.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:39:34.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:39:36.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:39:37.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:39:38.547Z] 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.
[2025-10-17T18:39:38.547Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:39:38.547Z] Top recommended movies for user id 72:
[2025-10-17T18:39:38.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:39:38.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:39:38.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:39:38.547Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:39:38.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:39:38.547Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16880.247 ms) ======
[2025-10-17T18:39:38.547Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-17T18:39:38.547Z] GC before operation: completed in 126.604 ms, heap usage 124.394 MB -> 89.787 MB.
[2025-10-17T18:39:41.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:39:44.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:39:47.661Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:39:50.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:39:51.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:39:53.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:39:54.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:39:56.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:39:56.378Z] 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.
[2025-10-17T18:39:56.378Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:39:57.132Z] Top recommended movies for user id 72:
[2025-10-17T18:39:57.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:39:57.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:39:57.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:39:57.132Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:39:57.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:39:57.133Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18162.620 ms) ======
[2025-10-17T18:39:57.133Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-17T18:39:57.133Z] GC before operation: completed in 152.653 ms, heap usage 368.721 MB -> 90.226 MB.
[2025-10-17T18:40:00.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:40:02.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:40:05.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:40:07.718Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:40:10.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:40:11.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:40:13.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:40:14.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:40:14.786Z] 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.
[2025-10-17T18:40:14.786Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:40:15.775Z] Top recommended movies for user id 72:
[2025-10-17T18:40:15.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:40:15.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:40:15.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:40:15.775Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:40:15.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:40:15.775Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18276.538 ms) ======
[2025-10-17T18:40:15.775Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-17T18:40:15.775Z] GC before operation: completed in 173.114 ms, heap usage 505.506 MB -> 90.227 MB.
[2025-10-17T18:40:18.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:40:20.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:40:24.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:40:26.535Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:40:28.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:40:29.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:40:32.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:40:33.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:40:33.646Z] 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.
[2025-10-17T18:40:33.646Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:40:33.646Z] Top recommended movies for user id 72:
[2025-10-17T18:40:33.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:40:33.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:40:33.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:40:33.646Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:40:33.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:40:33.646Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18424.217 ms) ======
[2025-10-17T18:40:33.646Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-17T18:40:33.646Z] GC before operation: completed in 133.677 ms, heap usage 529.341 MB -> 90.375 MB.
[2025-10-17T18:40:36.998Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T18:40:40.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T18:40:42.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T18:40:45.233Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T18:40:47.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T18:40:49.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T18:40:50.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T18:40:52.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T18:40:53.091Z] 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.
[2025-10-17T18:40:53.091Z] The best model improves the baseline by 14.52%.
[2025-10-17T18:40:53.091Z] Top recommended movies for user id 72:
[2025-10-17T18:40:53.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T18:40:53.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T18:40:53.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T18:40:53.091Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T18:40:53.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T18:40:53.091Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19220.488 ms) ======
[2025-10-17T18:40:53.841Z] -----------------------------------
[2025-10-17T18:40:53.841Z] renaissance-movie-lens_0_PASSED
[2025-10-17T18:40:53.841Z] -----------------------------------
[2025-10-17T18:40:53.841Z]
[2025-10-17T18:40:53.841Z] TEST TEARDOWN:
[2025-10-17T18:40:53.841Z] Nothing to be done for teardown.
[2025-10-17T18:40:53.841Z] renaissance-movie-lens_0 Finish Time: Fri Oct 17 18:40:53 2025 Epoch Time (ms): 1760726453272