renaissance-movie-lens_0
[2026-02-20T22:27:19.185Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T22:27:19.185Z] ===============================================
[2026-02-20T22:27:19.185Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 22:27:19 2026 Epoch Time (ms): 1771626439000
[2026-02-20T22:27:19.185Z] variation: NoOptions
[2026-02-20T22:27:19.185Z] JVM_OPTIONS:
[2026-02-20T22:27:19.185Z] { \
[2026-02-20T22:27:19.185Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T22:27:19.185Z] echo "Nothing to be done for setup."; \
[2026-02-20T22:27:19.185Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17716254179109/renaissance-movie-lens_0"; \
[2026-02-20T22:27:19.185Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17716254179109/renaissance-movie-lens_0"; \
[2026-02-20T22:27:19.185Z] echo ""; echo "TESTING:"; \
[2026-02-20T22:27:19.185Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17716254179109/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T22:27:19.185Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17716254179109/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T22:27:19.185Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T22:27:19.185Z] echo "Nothing to be done for teardown."; \
[2026-02-20T22:27:19.185Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17716254179109/TestTargetResult";
[2026-02-20T22:27:19.185Z]
[2026-02-20T22:27:19.185Z] TEST SETUP:
[2026-02-20T22:27:19.185Z] Nothing to be done for setup.
[2026-02-20T22:27:19.185Z]
[2026-02-20T22:27:19.185Z] TESTING:
[2026-02-20T22:27:32.185Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-20T22:27:38.980Z] 22:27:38.099 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.
[2026-02-20T22:27:41.401Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T22:27:42.150Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T22:27:42.150Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T22:27:42.921Z] GC before operation: completed in 253.241 ms, heap usage 289.669 MB -> 74.446 MB.
[2026-02-20T22:27:58.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:28:04.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:28:13.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:28:19.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:28:27.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:28:32.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:28:35.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:28:39.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:28:39.882Z] 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.
[2026-02-20T22:28:39.882Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:28:39.882Z] Top recommended movies for user id 72:
[2026-02-20T22:28:39.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:28:39.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:28:39.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:28:39.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:28:39.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:28:39.882Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57520.401 ms) ======
[2026-02-20T22:28:39.882Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T22:28:40.629Z] GC before operation: completed in 207.193 ms, heap usage 188.805 MB -> 89.139 MB.
[2026-02-20T22:28:47.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:28:54.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:29:01.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:29:06.963Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:29:10.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:29:12.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:29:17.166Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:29:21.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:29:21.542Z] 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.
[2026-02-20T22:29:21.542Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:29:22.296Z] Top recommended movies for user id 72:
[2026-02-20T22:29:22.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:29:22.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:29:22.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:29:22.296Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:29:22.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:29:22.296Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (41515.337 ms) ======
[2026-02-20T22:29:22.296Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T22:29:22.296Z] GC before operation: completed in 189.196 ms, heap usage 270.465 MB -> 87.534 MB.
[2026-02-20T22:29:32.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:29:46.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:29:56.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:30:03.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:30:05.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:30:12.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:30:16.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:30:20.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:30:20.232Z] 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.
[2026-02-20T22:30:20.232Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:30:21.001Z] Top recommended movies for user id 72:
[2026-02-20T22:30:21.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:30:21.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:30:21.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:30:21.002Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:30:21.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:30:21.002Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58548.003 ms) ======
[2026-02-20T22:30:21.002Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T22:30:21.002Z] GC before operation: completed in 157.684 ms, heap usage 349.624 MB -> 88.208 MB.
[2026-02-20T22:30:25.363Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:30:28.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:30:32.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:30:36.417Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:30:41.082Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:30:45.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:30:52.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:30:57.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:30:57.728Z] 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.
[2026-02-20T22:30:57.728Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:30:58.468Z] Top recommended movies for user id 72:
[2026-02-20T22:30:58.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:30:58.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:30:58.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:30:58.468Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:30:58.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:30:58.468Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37244.795 ms) ======
[2026-02-20T22:30:58.468Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T22:30:58.468Z] GC before operation: completed in 253.467 ms, heap usage 120.462 MB -> 88.251 MB.
[2026-02-20T22:31:06.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:31:12.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:31:18.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:31:27.647Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:31:33.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:31:40.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:31:51.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:31:54.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:31:55.210Z] 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.
[2026-02-20T22:31:55.210Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:31:55.210Z] Top recommended movies for user id 72:
[2026-02-20T22:31:55.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:31:55.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:31:55.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:31:55.210Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:31:55.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:31:55.210Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57187.474 ms) ======
[2026-02-20T22:31:55.210Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T22:31:56.772Z] GC before operation: completed in 507.118 ms, heap usage 334.005 MB -> 88.415 MB.
[2026-02-20T22:32:06.535Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:32:18.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:32:32.064Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:32:42.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:32:46.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:32:53.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:33:09.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:33:09.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:33:09.846Z] 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.
[2026-02-20T22:33:09.846Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:33:10.607Z] Top recommended movies for user id 72:
[2026-02-20T22:33:10.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:33:10.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:33:10.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:33:10.607Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:33:10.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:33:10.607Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (74468.779 ms) ======
[2026-02-20T22:33:10.607Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T22:33:11.361Z] GC before operation: completed in 602.508 ms, heap usage 191.619 MB -> 88.573 MB.
[2026-02-20T22:33:26.706Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:33:38.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:34:02.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:34:02.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:34:02.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:34:02.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:34:08.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:34:14.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:34:14.084Z] 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.
[2026-02-20T22:34:14.084Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:34:14.840Z] Top recommended movies for user id 72:
[2026-02-20T22:34:14.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:34:14.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:34:14.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:34:14.840Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:34:14.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:34:14.840Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (63791.266 ms) ======
[2026-02-20T22:34:14.840Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T22:34:15.609Z] GC before operation: completed in 517.278 ms, heap usage 102.992 MB -> 88.316 MB.
[2026-02-20T22:34:27.736Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:34:37.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:34:51.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:35:01.811Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:35:06.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:35:11.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:35:16.164Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:35:20.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:35:20.676Z] 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.
[2026-02-20T22:35:20.676Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:35:21.427Z] Top recommended movies for user id 72:
[2026-02-20T22:35:21.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:35:21.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:35:21.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:35:21.427Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:35:21.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:35:21.427Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (65714.917 ms) ======
[2026-02-20T22:35:21.427Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T22:35:21.427Z] GC before operation: completed in 373.363 ms, heap usage 304.212 MB -> 88.885 MB.
[2026-02-20T22:35:29.652Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:35:39.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:35:46.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:35:56.492Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:36:03.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:36:10.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:36:15.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:36:22.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:36:23.296Z] 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.
[2026-02-20T22:36:23.296Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:36:24.046Z] Top recommended movies for user id 72:
[2026-02-20T22:36:24.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:36:24.046Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:36:24.046Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:36:24.046Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:36:24.046Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:36:24.046Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (62307.870 ms) ======
[2026-02-20T22:36:24.046Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T22:36:24.046Z] GC before operation: completed in 441.965 ms, heap usage 429.740 MB -> 88.847 MB.
[2026-02-20T22:36:38.431Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:36:45.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:36:53.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:36:58.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:37:04.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:37:08.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:37:13.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:37:18.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:37:18.848Z] 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.
[2026-02-20T22:37:18.848Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:37:19.609Z] Top recommended movies for user id 72:
[2026-02-20T22:37:19.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:37:19.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:37:19.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:37:19.609Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:37:19.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:37:19.609Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (55387.520 ms) ======
[2026-02-20T22:37:19.609Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T22:37:20.361Z] GC before operation: completed in 388.959 ms, heap usage 173.385 MB -> 88.811 MB.
[2026-02-20T22:37:27.162Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:37:35.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:37:43.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:37:50.440Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:37:54.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:38:00.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:38:07.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:38:10.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:38:11.665Z] 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.
[2026-02-20T22:38:11.665Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:38:12.423Z] Top recommended movies for user id 72:
[2026-02-20T22:38:12.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:38:12.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:38:12.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:38:12.423Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:38:12.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:38:12.423Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52124.972 ms) ======
[2026-02-20T22:38:12.423Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T22:38:12.423Z] GC before operation: completed in 474.169 ms, heap usage 287.767 MB -> 88.621 MB.
[2026-02-20T22:38:20.662Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:38:27.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:38:35.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:38:42.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:38:46.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:38:51.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:38:56.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:39:00.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:39:01.365Z] 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.
[2026-02-20T22:39:01.365Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:39:02.120Z] Top recommended movies for user id 72:
[2026-02-20T22:39:02.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:39:02.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:39:02.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:39:02.120Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:39:02.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:39:02.120Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49145.581 ms) ======
[2026-02-20T22:39:02.120Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T22:39:02.120Z] GC before operation: completed in 339.977 ms, heap usage 210.106 MB -> 88.729 MB.
[2026-02-20T22:39:10.592Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:39:17.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:39:26.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:39:32.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:39:38.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:39:43.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:39:49.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:39:52.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:39:53.340Z] 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.
[2026-02-20T22:39:54.095Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:39:54.095Z] Top recommended movies for user id 72:
[2026-02-20T22:39:54.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:39:54.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:39:54.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:39:54.095Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:39:54.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:39:54.095Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51964.965 ms) ======
[2026-02-20T22:39:54.095Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T22:39:54.872Z] GC before operation: completed in 362.716 ms, heap usage 210.873 MB -> 88.840 MB.
[2026-02-20T22:40:01.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:40:10.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:40:16.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:40:23.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:40:29.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:40:33.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:40:39.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:40:42.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:40:43.240Z] 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.
[2026-02-20T22:40:43.240Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:40:44.000Z] Top recommended movies for user id 72:
[2026-02-20T22:40:44.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:40:44.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:40:44.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:40:44.001Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:40:44.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:40:44.001Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49638.278 ms) ======
[2026-02-20T22:40:44.001Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T22:40:44.747Z] GC before operation: completed in 399.457 ms, heap usage 276.604 MB -> 88.782 MB.
[2026-02-20T22:40:53.494Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:41:00.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:41:07.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:41:13.790Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:41:19.551Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:41:23.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:41:27.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:41:34.110Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:41:34.875Z] 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.
[2026-02-20T22:41:34.875Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:41:35.620Z] Top recommended movies for user id 72:
[2026-02-20T22:41:35.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:41:35.620Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:41:35.620Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:41:35.620Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:41:35.620Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:41:35.620Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51003.030 ms) ======
[2026-02-20T22:41:35.620Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T22:41:35.620Z] GC before operation: completed in 325.409 ms, heap usage 403.520 MB -> 89.143 MB.
[2026-02-20T22:41:47.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:41:53.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:42:08.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:42:13.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:42:19.165Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:42:23.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:42:29.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:42:33.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:42:33.613Z] 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.
[2026-02-20T22:42:34.390Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:42:34.390Z] Top recommended movies for user id 72:
[2026-02-20T22:42:34.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:42:34.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:42:34.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:42:34.390Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:42:34.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:42:34.390Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (58536.885 ms) ======
[2026-02-20T22:42:34.390Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T22:42:35.151Z] GC before operation: completed in 406.966 ms, heap usage 181.515 MB -> 88.738 MB.
[2026-02-20T22:42:41.943Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:42:50.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:43:00.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:43:11.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:43:18.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:43:25.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:43:30.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:43:36.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:43:36.225Z] 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.
[2026-02-20T22:43:36.975Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:43:36.975Z] Top recommended movies for user id 72:
[2026-02-20T22:43:36.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:43:36.975Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:43:36.975Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:43:36.975Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:43:36.975Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:43:36.975Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (62334.753 ms) ======
[2026-02-20T22:43:36.975Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T22:43:37.720Z] GC before operation: completed in 499.541 ms, heap usage 170.993 MB -> 88.817 MB.
[2026-02-20T22:43:48.272Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:43:56.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:44:06.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:44:16.176Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:44:23.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:44:28.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:44:35.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:44:41.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:44:41.761Z] 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.
[2026-02-20T22:44:41.761Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:44:42.516Z] Top recommended movies for user id 72:
[2026-02-20T22:44:42.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:44:42.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:44:42.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:44:42.516Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:44:42.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:44:42.516Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (64551.880 ms) ======
[2026-02-20T22:44:42.516Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T22:44:42.516Z] GC before operation: completed in 535.127 ms, heap usage 483.669 MB -> 89.148 MB.
[2026-02-20T22:44:50.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:45:00.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:45:10.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:45:18.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:45:25.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:45:31.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:45:37.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:45:41.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:45:41.543Z] 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.
[2026-02-20T22:45:42.350Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:45:42.350Z] Top recommended movies for user id 72:
[2026-02-20T22:45:42.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:45:42.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:45:42.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:45:42.350Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:45:42.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:45:42.350Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (59557.288 ms) ======
[2026-02-20T22:45:42.350Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T22:45:42.350Z] GC before operation: completed in 389.981 ms, heap usage 334.906 MB -> 89.045 MB.
[2026-02-20T22:45:49.114Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:45:57.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:46:03.015Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:46:07.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:46:09.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:46:12.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:46:17.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:46:21.614Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:46:22.363Z] 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.
[2026-02-20T22:46:22.363Z] The best model improves the baseline by 14.52%.
[2026-02-20T22:46:22.363Z] Top recommended movies for user id 72:
[2026-02-20T22:46:22.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T22:46:22.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T22:46:22.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T22:46:22.363Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T22:46:22.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T22:46:22.363Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (39952.887 ms) ======
[2026-02-20T22:46:23.898Z] -----------------------------------
[2026-02-20T22:46:23.898Z] renaissance-movie-lens_0_PASSED
[2026-02-20T22:46:23.898Z] -----------------------------------
[2026-02-20T22:46:23.898Z]
[2026-02-20T22:46:23.898Z] TEST TEARDOWN:
[2026-02-20T22:46:23.898Z] Nothing to be done for teardown.
[2026-02-20T22:46:23.898Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 22:46:23 2026 Epoch Time (ms): 1771627583362