renaissance-movie-lens_0
[2026-02-05T02:35:46.177Z] Running test renaissance-movie-lens_0 ...
[2026-02-05T02:35:46.177Z] ===============================================
[2026-02-05T02:35:46.177Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 02:35:45 2026 Epoch Time (ms): 1770258945232
[2026-02-05T02:35:46.177Z] variation: NoOptions
[2026-02-05T02:35:46.177Z] JVM_OPTIONS:
[2026-02-05T02:35:46.177Z] { \
[2026-02-05T02:35:46.177Z] echo ""; echo "TEST SETUP:"; \
[2026-02-05T02:35:46.177Z] echo "Nothing to be done for setup."; \
[2026-02-05T02:35:46.177Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17702575895563/renaissance-movie-lens_0"; \
[2026-02-05T02:35:46.177Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17702575895563/renaissance-movie-lens_0"; \
[2026-02-05T02:35:46.177Z] echo ""; echo "TESTING:"; \
[2026-02-05T02:35:46.177Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17702575895563/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-05T02:35:46.177Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17702575895563/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-05T02:35:46.177Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-05T02:35:46.177Z] echo "Nothing to be done for teardown."; \
[2026-02-05T02:35:46.177Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17702575895563/TestTargetResult";
[2026-02-05T02:35:46.177Z]
[2026-02-05T02:35:46.177Z] TEST SETUP:
[2026-02-05T02:35:46.177Z] Nothing to be done for setup.
[2026-02-05T02:35:46.177Z]
[2026-02-05T02:35:46.177Z] TESTING:
[2026-02-05T02:36:00.090Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-05T02:36:22.412Z] 02:36:21.764 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-05T02:36:26.671Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-05T02:36:27.657Z] Training: 60056, validation: 20285, test: 19854
[2026-02-05T02:36:27.657Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-05T02:36:27.657Z] GC before operation: completed in 184.441 ms, heap usage 192.716 MB -> 76.005 MB.
[2026-02-05T02:36:41.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:36:49.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:36:56.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:37:03.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:37:06.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:37:11.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:37:14.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:37:17.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:37:18.293Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:37:18.293Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:37:18.293Z] Top recommended movies for user id 72:
[2026-02-05T02:37:18.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:37:18.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:37:18.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:37:18.293Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:37:18.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:37:18.293Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (51276.264 ms) ======
[2026-02-05T02:37:18.293Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-05T02:37:19.265Z] GC before operation: completed in 238.091 ms, heap usage 217.210 MB -> 88.253 MB.
[2026-02-05T02:37:25.479Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:37:30.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:37:36.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:37:40.675Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:37:43.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:37:46.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:37:49.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:37:53.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:37:54.089Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:37:54.089Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:37:54.089Z] Top recommended movies for user id 72:
[2026-02-05T02:37:54.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:37:54.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:37:54.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:37:54.089Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:37:54.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:37:54.089Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (35171.402 ms) ======
[2026-02-05T02:37:54.089Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-05T02:37:54.089Z] GC before operation: completed in 204.862 ms, heap usage 368.200 MB -> 89.014 MB.
[2026-02-05T02:37:59.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:38:05.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:38:09.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:38:13.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:38:15.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:38:19.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:38:21.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:38:23.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:38:24.544Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:38:24.544Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:38:24.544Z] Top recommended movies for user id 72:
[2026-02-05T02:38:24.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:38:24.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:38:24.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:38:24.544Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:38:24.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:38:24.544Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30238.773 ms) ======
[2026-02-05T02:38:24.544Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-05T02:38:24.544Z] GC before operation: completed in 208.828 ms, heap usage 95.896 MB -> 89.515 MB.
[2026-02-05T02:38:28.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:38:33.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:38:38.541Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:38:42.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:38:46.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:38:49.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:38:51.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:38:54.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:38:55.653Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:38:55.653Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:38:55.653Z] Top recommended movies for user id 72:
[2026-02-05T02:38:55.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:38:55.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:38:55.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:38:55.653Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:38:55.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:38:55.653Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30659.982 ms) ======
[2026-02-05T02:38:55.653Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-05T02:38:55.653Z] GC before operation: completed in 189.497 ms, heap usage 120.623 MB -> 89.642 MB.
[2026-02-05T02:39:00.044Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:39:05.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:39:09.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:39:15.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:39:18.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:39:20.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:39:23.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:39:25.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:39:25.911Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:39:26.882Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:39:26.882Z] Top recommended movies for user id 72:
[2026-02-05T02:39:26.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:39:26.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:39:26.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:39:26.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:39:26.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:39:26.882Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30935.837 ms) ======
[2026-02-05T02:39:26.882Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-05T02:39:26.882Z] GC before operation: completed in 350.545 ms, heap usage 370.022 MB -> 89.827 MB.
[2026-02-05T02:39:31.126Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:39:35.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:39:39.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:39:43.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:39:45.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:39:47.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:39:49.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:39:53.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:39:53.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:39:53.079Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:39:53.079Z] Top recommended movies for user id 72:
[2026-02-05T02:39:53.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:39:53.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:39:53.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:39:53.079Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:39:53.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:39:53.079Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26289.131 ms) ======
[2026-02-05T02:39:53.079Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-05T02:39:53.079Z] GC before operation: completed in 263.880 ms, heap usage 197.418 MB -> 89.928 MB.
[2026-02-05T02:39:57.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:40:01.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:40:05.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:40:10.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:40:11.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:40:14.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:40:16.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:40:18.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:40:19.924Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:40:19.924Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:40:19.924Z] Top recommended movies for user id 72:
[2026-02-05T02:40:19.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:40:19.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:40:19.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:40:19.924Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:40:19.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:40:19.924Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26359.015 ms) ======
[2026-02-05T02:40:19.924Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-05T02:40:19.924Z] GC before operation: completed in 196.753 ms, heap usage 470.209 MB -> 90.257 MB.
[2026-02-05T02:40:24.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:40:28.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:40:31.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:40:35.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:40:37.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:40:39.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:40:41.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:40:43.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:40:44.776Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:40:44.776Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:40:44.776Z] Top recommended movies for user id 72:
[2026-02-05T02:40:44.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:40:44.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:40:44.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:40:44.776Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:40:44.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:40:44.776Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24684.203 ms) ======
[2026-02-05T02:40:44.776Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-05T02:40:44.776Z] GC before operation: completed in 218.634 ms, heap usage 511.917 MB -> 90.570 MB.
[2026-02-05T02:40:49.027Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:40:52.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:40:56.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:40:59.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:41:01.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:41:05.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:41:06.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:41:08.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:41:09.374Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:41:09.374Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:41:09.374Z] Top recommended movies for user id 72:
[2026-02-05T02:41:09.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:41:09.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:41:09.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:41:09.374Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:41:09.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:41:09.374Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24517.123 ms) ======
[2026-02-05T02:41:09.374Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-05T02:41:09.374Z] GC before operation: completed in 294.256 ms, heap usage 156.071 MB -> 91.221 MB.
[2026-02-05T02:41:13.612Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:41:17.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:41:22.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:41:25.256Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:41:27.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:41:30.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:41:32.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:41:34.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:41:35.326Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:41:35.326Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:41:35.326Z] Top recommended movies for user id 72:
[2026-02-05T02:41:35.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:41:35.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:41:35.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:41:35.326Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:41:35.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:41:35.326Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25525.250 ms) ======
[2026-02-05T02:41:35.326Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-05T02:41:35.326Z] GC before operation: completed in 195.151 ms, heap usage 371.161 MB -> 90.407 MB.
[2026-02-05T02:41:39.576Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:41:43.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:41:46.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:41:51.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:41:53.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:41:55.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:41:58.312Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:41:59.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:42:00.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:42:00.973Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:42:00.973Z] Top recommended movies for user id 72:
[2026-02-05T02:42:00.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:42:00.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:42:00.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:42:00.973Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:42:00.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:42:00.973Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25324.774 ms) ======
[2026-02-05T02:42:00.973Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-05T02:42:00.973Z] GC before operation: completed in 241.812 ms, heap usage 297.536 MB -> 90.110 MB.
[2026-02-05T02:42:05.210Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:42:08.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:42:12.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:42:15.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:42:17.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:42:20.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:42:22.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:42:24.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:42:25.657Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:42:25.657Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:42:25.657Z] Top recommended movies for user id 72:
[2026-02-05T02:42:25.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:42:25.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:42:25.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:42:25.657Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:42:25.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:42:25.657Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24506.454 ms) ======
[2026-02-05T02:42:25.657Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-05T02:42:25.657Z] GC before operation: completed in 229.503 ms, heap usage 182.104 MB -> 90.165 MB.
[2026-02-05T02:42:29.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:42:34.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:42:38.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:42:41.514Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:42:44.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:42:46.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:42:49.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:42:51.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:42:51.695Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:42:51.695Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:42:52.786Z] Top recommended movies for user id 72:
[2026-02-05T02:42:52.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:42:52.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:42:52.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:42:52.786Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:42:52.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:42:52.786Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26645.851 ms) ======
[2026-02-05T02:42:52.786Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-05T02:42:52.786Z] GC before operation: completed in 222.733 ms, heap usage 204.779 MB -> 90.234 MB.
[2026-02-05T02:42:56.604Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:43:00.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:43:05.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:43:09.354Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:43:11.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:43:13.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:43:15.543Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:43:18.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:43:18.640Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:43:18.640Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:43:18.640Z] Top recommended movies for user id 72:
[2026-02-05T02:43:18.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:43:18.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:43:18.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:43:18.640Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:43:18.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:43:18.640Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25906.588 ms) ======
[2026-02-05T02:43:18.640Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-05T02:43:18.640Z] GC before operation: completed in 233.414 ms, heap usage 452.777 MB -> 90.374 MB.
[2026-02-05T02:43:22.891Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:43:27.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:43:30.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:43:33.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:43:35.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:43:37.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:43:39.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:43:41.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:43:42.298Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:43:42.298Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:43:42.298Z] Top recommended movies for user id 72:
[2026-02-05T02:43:42.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:43:42.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:43:42.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:43:42.298Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:43:42.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:43:42.298Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23385.289 ms) ======
[2026-02-05T02:43:42.298Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-05T02:43:42.298Z] GC before operation: completed in 206.892 ms, heap usage 202.669 MB -> 90.324 MB.
[2026-02-05T02:43:46.546Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:43:49.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:43:53.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:43:56.612Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:43:58.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:44:01.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:44:03.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:44:05.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:44:05.737Z] 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.
[2026-02-05T02:44:05.737Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:44:06.707Z] Top recommended movies for user id 72:
[2026-02-05T02:44:06.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:44:06.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:44:06.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:44:06.707Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:44:06.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:44:06.707Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23845.865 ms) ======
[2026-02-05T02:44:06.707Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-05T02:44:06.707Z] GC before operation: completed in 280.158 ms, heap usage 122.109 MB -> 90.008 MB.
[2026-02-05T02:44:09.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:44:13.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:44:18.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:44:22.775Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:44:24.832Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:44:27.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:44:29.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:44:33.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:44:33.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:44:33.554Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:44:33.554Z] Top recommended movies for user id 72:
[2026-02-05T02:44:33.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:44:33.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:44:33.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:44:33.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:44:33.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:44:33.554Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26591.895 ms) ======
[2026-02-05T02:44:33.554Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-05T02:44:33.554Z] GC before operation: completed in 749.605 ms, heap usage 120.416 MB -> 90.185 MB.
[2026-02-05T02:44:40.130Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:44:44.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:44:47.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:44:51.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:44:52.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:44:54.208Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:44:56.210Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:44:58.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:44:58.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:44:58.216Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:44:58.216Z] Top recommended movies for user id 72:
[2026-02-05T02:44:58.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:44:58.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:44:58.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:44:58.216Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:44:58.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:44:58.216Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24589.744 ms) ======
[2026-02-05T02:44:58.216Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-05T02:44:59.193Z] GC before operation: completed in 288.174 ms, heap usage 216.977 MB -> 90.100 MB.
[2026-02-05T02:45:02.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:45:05.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:45:08.458Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:45:11.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:45:13.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:45:15.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:45:17.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:45:19.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:45:19.559Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:45:19.559Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:45:19.559Z] Top recommended movies for user id 72:
[2026-02-05T02:45:19.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:45:19.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:45:19.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:45:19.559Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:45:19.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:45:19.559Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21005.398 ms) ======
[2026-02-05T02:45:19.559Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-05T02:45:19.559Z] GC before operation: completed in 257.155 ms, heap usage 371.691 MB -> 90.449 MB.
[2026-02-05T02:45:23.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T02:45:26.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T02:45:30.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T02:45:34.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T02:45:36.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T02:45:38.674Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T02:45:41.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T02:45:43.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T02:45:43.444Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T02:45:43.444Z] The best model improves the baseline by 14.52%.
[2026-02-05T02:45:43.444Z] Top recommended movies for user id 72:
[2026-02-05T02:45:43.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T02:45:43.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T02:45:43.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T02:45:43.444Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T02:45:43.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T02:45:43.444Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23592.366 ms) ======
[2026-02-05T02:45:45.450Z] -----------------------------------
[2026-02-05T02:45:45.450Z] renaissance-movie-lens_0_PASSED
[2026-02-05T02:45:45.450Z] -----------------------------------
[2026-02-05T02:45:45.450Z]
[2026-02-05T02:45:45.450Z] TEST TEARDOWN:
[2026-02-05T02:45:45.450Z] Nothing to be done for teardown.
[2026-02-05T02:45:45.450Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 02:45:44 2026 Epoch Time (ms): 1770259544740