renaissance-movie-lens_0
[2025-05-23T00:08:49.059Z] Running test renaissance-movie-lens_0 ...
[2025-05-23T00:08:49.059Z] ===============================================
[2025-05-23T00:08:49.059Z] renaissance-movie-lens_0 Start Time: Fri May 23 00:08:48 2025 Epoch Time (ms): 1747958928911
[2025-05-23T00:08:49.059Z] variation: NoOptions
[2025-05-23T00:08:49.059Z] JVM_OPTIONS:
[2025-05-23T00:08:49.059Z] { \
[2025-05-23T00:08:49.059Z] echo ""; echo "TEST SETUP:"; \
[2025-05-23T00:08:49.059Z] echo "Nothing to be done for setup."; \
[2025-05-23T00:08:49.059Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1747953800450/renaissance-movie-lens_0"; \
[2025-05-23T00:08:49.059Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1747953800450/renaissance-movie-lens_0"; \
[2025-05-23T00:08:49.059Z] echo ""; echo "TESTING:"; \
[2025-05-23T00:08:49.059Z] "/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_1747953800450/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-23T00:08:49.059Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1747953800450/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-23T00:08:49.059Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-23T00:08:49.059Z] echo "Nothing to be done for teardown."; \
[2025-05-23T00:08:49.059Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1747953800450/TestTargetResult";
[2025-05-23T00:08:49.059Z]
[2025-05-23T00:08:49.059Z] TEST SETUP:
[2025-05-23T00:08:49.059Z] Nothing to be done for setup.
[2025-05-23T00:08:49.059Z]
[2025-05-23T00:08:49.059Z] TESTING:
[2025-05-23T00:08:52.516Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-05-23T00:08:52.516Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_1747953800450/renaissance-movie-lens_0/launcher-000849-10835540110887479412/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-05-23T00:08:52.516Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-05-23T00:08:52.516Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-05-23T00:09:22.754Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-05-23T00:10:11.714Z] 00:10:05.875 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-05-23T00:10:21.691Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-23T00:10:25.211Z] Training: 60056, validation: 20285, test: 19854
[2025-05-23T00:10:25.211Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-23T00:10:26.026Z] GC before operation: completed in 891.940 ms, heap usage 157.681 MB -> 76.143 MB.
[2025-05-23T00:11:22.945Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:11:53.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:12:12.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:12:31.554Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:12:45.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:12:55.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:13:07.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:13:17.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:13:18.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:13:18.475Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:13:20.033Z] Top recommended movies for user id 72:
[2025-05-23T00:13:20.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:13:20.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:13:20.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:13:20.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:13:20.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:13:20.033Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (174160.029 ms) ======
[2025-05-23T00:13:20.033Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-23T00:13:20.824Z] GC before operation: completed in 833.407 ms, heap usage 478.144 MB -> 87.778 MB.
[2025-05-23T00:13:36.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:13:53.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:14:10.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:14:22.775Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:14:33.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:14:40.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:14:47.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:14:56.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:14:57.517Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:14:57.517Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:14:58.325Z] Top recommended movies for user id 72:
[2025-05-23T00:14:58.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:14:58.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:14:58.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:14:58.325Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:14:58.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:14:58.325Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (97600.415 ms) ======
[2025-05-23T00:14:58.325Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-23T00:14:59.137Z] GC before operation: completed in 684.604 ms, heap usage 616.312 MB -> 92.213 MB.
[2025-05-23T00:15:13.528Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:15:30.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:15:46.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:15:59.025Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:16:06.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:16:15.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:16:22.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:16:31.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:16:31.007Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:16:31.845Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:16:32.647Z] Top recommended movies for user id 72:
[2025-05-23T00:16:32.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:16:32.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:16:32.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:16:32.647Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:16:32.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:16:32.647Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (93442.843 ms) ======
[2025-05-23T00:16:32.647Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-23T00:16:33.451Z] GC before operation: completed in 635.542 ms, heap usage 180.817 MB -> 89.070 MB.
[2025-05-23T00:16:47.708Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:17:00.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:17:12.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:17:24.425Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:17:34.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:17:43.413Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:17:52.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:17:59.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:18:01.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:18:01.174Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:18:01.989Z] Top recommended movies for user id 72:
[2025-05-23T00:18:01.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:18:01.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:18:01.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:18:01.989Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:18:01.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:18:01.989Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (88615.559 ms) ======
[2025-05-23T00:18:01.989Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-23T00:18:01.989Z] GC before operation: completed in 622.691 ms, heap usage 188.049 MB -> 89.419 MB.
[2025-05-23T00:18:16.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:18:28.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:18:40.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:18:52.434Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:18:59.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:19:06.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:19:12.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:19:19.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:19:20.580Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:19:20.580Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:19:21.393Z] Top recommended movies for user id 72:
[2025-05-23T00:19:21.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:19:21.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:19:21.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:19:21.393Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:19:21.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:19:21.393Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (78953.160 ms) ======
[2025-05-23T00:19:21.393Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-23T00:19:22.225Z] GC before operation: completed in 690.501 ms, heap usage 114.234 MB -> 93.293 MB.
[2025-05-23T00:19:34.360Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:19:46.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:19:56.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:20:07.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:20:13.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:20:21.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:20:29.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:20:36.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:20:37.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:20:37.937Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:20:38.751Z] Top recommended movies for user id 72:
[2025-05-23T00:20:38.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:20:38.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:20:38.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:20:38.751Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:20:38.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:20:38.751Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (76386.888 ms) ======
[2025-05-23T00:20:38.751Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-23T00:20:38.751Z] GC before operation: completed in 649.850 ms, heap usage 380.111 MB -> 89.918 MB.
[2025-05-23T00:20:50.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:21:03.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:21:17.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:21:29.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:21:37.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:21:42.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:21:48.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:21:53.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:21:54.285Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:21:54.286Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:21:55.096Z] Top recommended movies for user id 72:
[2025-05-23T00:21:55.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:21:55.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:21:55.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:21:55.097Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:21:55.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:21:55.097Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (76077.737 ms) ======
[2025-05-23T00:21:55.097Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-23T00:21:56.338Z] GC before operation: completed in 680.551 ms, heap usage 538.612 MB -> 93.340 MB.
[2025-05-23T00:22:06.542Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:22:16.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:22:26.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:22:35.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:22:42.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:22:48.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:22:54.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:23:00.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:23:01.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:23:01.597Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:23:02.403Z] Top recommended movies for user id 72:
[2025-05-23T00:23:02.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:23:02.403Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:23:02.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:23:02.403Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:23:02.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:23:02.403Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (66686.916 ms) ======
[2025-05-23T00:23:02.403Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-23T00:23:03.225Z] GC before operation: completed in 596.136 ms, heap usage 230.559 MB -> 89.861 MB.
[2025-05-23T00:23:13.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:23:23.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:23:34.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:23:42.836Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:23:49.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:23:55.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:24:02.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:24:08.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:24:09.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:24:09.737Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:24:10.575Z] Top recommended movies for user id 72:
[2025-05-23T00:24:10.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:24:10.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:24:10.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:24:10.575Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:24:10.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:24:10.575Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (67701.455 ms) ======
[2025-05-23T00:24:10.575Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-23T00:24:11.379Z] GC before operation: completed in 561.376 ms, heap usage 449.340 MB -> 90.074 MB.
[2025-05-23T00:24:23.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:24:33.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:24:45.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:24:56.184Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:25:03.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:25:09.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:25:16.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:25:22.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:25:23.929Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:25:23.929Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:25:24.748Z] Top recommended movies for user id 72:
[2025-05-23T00:25:24.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:25:24.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:25:24.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:25:24.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:25:24.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:25:24.748Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (73147.748 ms) ======
[2025-05-23T00:25:24.748Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-23T00:25:24.748Z] GC before operation: completed in 595.262 ms, heap usage 366.474 MB -> 90.138 MB.
[2025-05-23T00:25:36.844Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:25:47.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:25:59.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:26:11.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:26:18.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:26:25.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:26:32.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:26:39.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:26:41.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:26:41.112Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:26:41.894Z] Top recommended movies for user id 72:
[2025-05-23T00:26:41.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:26:41.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:26:41.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:26:41.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:26:41.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:26:41.894Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (76446.087 ms) ======
[2025-05-23T00:26:41.894Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-23T00:26:41.894Z] GC before operation: completed in 553.091 ms, heap usage 309.363 MB -> 89.877 MB.
[2025-05-23T00:26:54.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:27:04.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:27:15.881Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:27:25.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:27:32.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:27:39.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:27:47.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:27:54.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:27:55.941Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:27:55.941Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:27:56.720Z] Top recommended movies for user id 72:
[2025-05-23T00:27:56.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:27:56.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:27:56.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:27:56.720Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:27:56.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:27:56.720Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (74693.454 ms) ======
[2025-05-23T00:27:56.720Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-23T00:27:57.508Z] GC before operation: completed in 703.789 ms, heap usage 122.130 MB -> 89.751 MB.
[2025-05-23T00:28:11.415Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:28:23.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:28:34.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:28:44.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:28:49.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:28:56.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:29:03.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:29:10.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:29:12.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:29:12.274Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:29:13.095Z] Top recommended movies for user id 72:
[2025-05-23T00:29:13.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:29:13.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:29:13.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:29:13.095Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:29:13.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:29:13.095Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (75260.884 ms) ======
[2025-05-23T00:29:13.095Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-23T00:29:13.880Z] GC before operation: completed in 756.494 ms, heap usage 315.656 MB -> 90.059 MB.
[2025-05-23T00:29:27.806Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:29:40.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:29:52.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:30:03.881Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:30:09.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:30:15.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:30:21.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:30:27.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:30:28.315Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:30:28.315Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:30:29.079Z] Top recommended movies for user id 72:
[2025-05-23T00:30:29.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:30:29.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:30:29.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:30:29.079Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:30:29.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:30:29.079Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (75590.626 ms) ======
[2025-05-23T00:30:29.079Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-23T00:30:29.863Z] GC before operation: completed in 591.694 ms, heap usage 360.582 MB -> 89.988 MB.
[2025-05-23T00:30:40.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:30:50.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:31:00.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:31:10.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:31:15.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:31:22.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:31:29.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:31:34.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:31:36.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:31:36.578Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:31:36.578Z] Top recommended movies for user id 72:
[2025-05-23T00:31:36.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:31:36.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:31:36.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:31:36.578Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:31:36.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:31:36.578Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (67095.444 ms) ======
[2025-05-23T00:31:36.578Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-23T00:31:37.350Z] GC before operation: completed in 567.568 ms, heap usage 467.803 MB -> 90.384 MB.
[2025-05-23T00:31:49.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:31:57.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:32:07.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:32:19.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:32:25.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:32:32.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:32:39.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:32:46.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:32:46.865Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:32:46.865Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:32:47.638Z] Top recommended movies for user id 72:
[2025-05-23T00:32:47.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:32:47.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:32:47.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:32:47.638Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:32:47.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:32:47.638Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (70252.158 ms) ======
[2025-05-23T00:32:47.638Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-23T00:32:48.413Z] GC before operation: completed in 609.962 ms, heap usage 424.611 MB -> 90.077 MB.
[2025-05-23T00:33:00.062Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:33:08.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:33:20.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:33:28.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:33:34.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:33:39.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:33:47.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:33:52.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:33:53.526Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:33:53.526Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:33:54.318Z] Top recommended movies for user id 72:
[2025-05-23T00:33:54.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:33:54.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:33:54.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:33:54.318Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:33:54.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:33:54.318Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (66095.021 ms) ======
[2025-05-23T00:33:54.318Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-23T00:33:55.101Z] GC before operation: completed in 565.187 ms, heap usage 190.707 MB -> 87.828 MB.
[2025-05-23T00:34:05.038Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:34:15.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:34:25.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:34:35.324Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:34:39.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:34:46.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:34:53.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:35:00.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:35:01.238Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:35:01.238Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:35:02.005Z] Top recommended movies for user id 72:
[2025-05-23T00:35:02.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:35:02.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:35:02.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:35:02.005Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:35:02.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:35:02.005Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (67134.691 ms) ======
[2025-05-23T00:35:02.005Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-23T00:35:02.775Z] GC before operation: completed in 865.619 ms, heap usage 815.532 MB -> 90.771 MB.
[2025-05-23T00:35:14.915Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:35:24.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:35:36.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:35:46.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:35:52.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:35:58.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:36:06.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:36:13.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:36:15.393Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:36:15.393Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:36:15.393Z] Top recommended movies for user id 72:
[2025-05-23T00:36:15.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:36:15.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:36:15.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:36:15.393Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:36:15.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:36:15.393Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (72777.550 ms) ======
[2025-05-23T00:36:15.393Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-23T00:36:16.165Z] GC before operation: completed in 647.071 ms, heap usage 347.724 MB -> 86.931 MB.
[2025-05-23T00:36:27.956Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-23T00:36:39.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-23T00:36:53.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-23T00:37:04.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-23T00:37:11.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-23T00:37:18.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-23T00:37:26.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-23T00:37:33.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-23T00:37:34.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-23T00:37:35.433Z] The best model improves the baseline by 14.52%.
[2025-05-23T00:37:36.219Z] Top recommended movies for user id 72:
[2025-05-23T00:37:36.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-23T00:37:36.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-23T00:37:36.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-23T00:37:36.219Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-23T00:37:36.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-23T00:37:36.219Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (79567.845 ms) ======
[2025-05-23T00:37:37.813Z] -----------------------------------
[2025-05-23T00:37:37.813Z] renaissance-movie-lens_0_PASSED
[2025-05-23T00:37:37.813Z] -----------------------------------
[2025-05-23T00:37:37.813Z]
[2025-05-23T00:37:37.813Z] TEST TEARDOWN:
[2025-05-23T00:37:37.813Z] Nothing to be done for teardown.
[2025-05-23T00:37:37.813Z] renaissance-movie-lens_0 Finish Time: Fri May 23 00:37:37 2025 Epoch Time (ms): 1747960657563