[2026-02-25T21:59:41.315Z] Running test renaissance-movie-lens_0 ... [2026-02-25T21:59:41.315Z] =============================================== [2026-02-25T21:59:41.315Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 21:59:41 2026 Epoch Time (ms): 1772056781120 [2026-02-25T21:59:41.315Z] variation: NoOptions [2026-02-25T21:59:41.315Z] JVM_OPTIONS: [2026-02-25T21:59:41.315Z] { \ [2026-02-25T21:59:41.315Z] echo ""; echo "TEST SETUP:"; \ [2026-02-25T21:59:41.315Z] echo "Nothing to be done for setup."; \ [2026-02-25T21:59:41.315Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17720556599305/renaissance-movie-lens_0"; \ [2026-02-25T21:59:41.315Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17720556599305/renaissance-movie-lens_0"; \ [2026-02-25T21:59:41.315Z] echo ""; echo "TESTING:"; \ [2026-02-25T21:59:41.315Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17720556599305/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-25T21:59:41.315Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17720556599305/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-25T21:59:41.315Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-25T21:59:41.315Z] echo "Nothing to be done for teardown."; \ [2026-02-25T21:59:41.315Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17720556599305/TestTargetResult"; [2026-02-25T21:59:41.315Z] [2026-02-25T21:59:41.315Z] TEST SETUP: [2026-02-25T21:59:41.315Z] Nothing to be done for setup. [2026-02-25T21:59:41.315Z] [2026-02-25T21:59:41.315Z] TESTING: [2026-02-25T21:59:47.064Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-25T21:59:54.169Z] 21:59:53.268 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-25T21:59:57.097Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-25T21:59:57.773Z] Training: 60056, validation: 20285, test: 19854 [2026-02-25T21:59:57.773Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-25T21:59:57.773Z] GC before operation: completed in 125.079 ms, heap usage 194.015 MB -> 75.228 MB. [2026-02-25T22:00:06.506Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:00:10.259Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:00:16.066Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:00:20.102Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:00:21.709Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:00:23.905Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:00:26.129Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:00:27.716Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:00:28.387Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:00:28.387Z] The best model improves the baseline by 14.34%. [2026-02-25T22:00:28.701Z] Top recommended movies for user id 72: [2026-02-25T22:00:28.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:00:28.701Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:00:28.701Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:00:28.701Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:00:28.701Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:00:28.701Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30866.639 ms) ====== [2026-02-25T22:00:28.701Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-25T22:00:28.701Z] GC before operation: completed in 177.935 ms, heap usage 146.436 MB -> 90.622 MB. [2026-02-25T22:00:32.389Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:00:34.557Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:00:37.409Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:00:39.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:00:41.208Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:00:42.816Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:00:44.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:00:45.493Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:00:45.803Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:00:45.804Z] The best model improves the baseline by 14.34%. [2026-02-25T22:00:46.115Z] Top recommended movies for user id 72: [2026-02-25T22:00:46.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:00:46.115Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:00:46.115Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:00:46.115Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:00:46.115Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:00:46.115Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17214.859 ms) ====== [2026-02-25T22:00:46.115Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-25T22:00:46.115Z] GC before operation: completed in 117.086 ms, heap usage 372.018 MB -> 90.022 MB. [2026-02-25T22:00:48.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:00:51.274Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:00:53.442Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:00:55.608Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:00:56.707Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:00:58.298Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:00:59.925Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:01:01.536Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:01:01.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:01:01.536Z] The best model improves the baseline by 14.34%. [2026-02-25T22:01:01.851Z] Top recommended movies for user id 72: [2026-02-25T22:01:01.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:01:01.851Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:01:01.851Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:01:01.851Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:01:01.851Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:01:01.851Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15755.738 ms) ====== [2026-02-25T22:01:01.851Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-25T22:01:01.851Z] GC before operation: completed in 124.940 ms, heap usage 421.484 MB -> 88.510 MB. [2026-02-25T22:01:04.711Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:01:06.298Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:01:09.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:01:10.746Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:01:11.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:01:13.490Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:01:14.596Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:01:15.690Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:01:16.001Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:01:16.001Z] The best model improves the baseline by 14.34%. [2026-02-25T22:01:16.318Z] Top recommended movies for user id 72: [2026-02-25T22:01:16.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:01:16.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:01:16.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:01:16.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:01:16.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:01:16.318Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14220.613 ms) ====== [2026-02-25T22:01:16.318Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-25T22:01:16.318Z] GC before operation: completed in 123.232 ms, heap usage 741.222 MB -> 92.952 MB. [2026-02-25T22:01:18.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:01:20.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:01:22.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:01:25.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:01:26.168Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:01:27.755Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:01:28.856Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:01:29.955Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:01:30.275Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:01:30.276Z] The best model improves the baseline by 14.34%. [2026-02-25T22:01:30.588Z] Top recommended movies for user id 72: [2026-02-25T22:01:30.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:01:30.588Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:01:30.588Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:01:30.588Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:01:30.588Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:01:30.588Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14127.448 ms) ====== [2026-02-25T22:01:30.588Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-25T22:01:30.588Z] GC before operation: completed in 115.621 ms, heap usage 198.588 MB -> 90.606 MB. [2026-02-25T22:01:32.760Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:01:35.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:01:37.179Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:01:39.346Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:01:40.438Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:01:41.546Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:01:43.135Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:01:44.234Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:01:44.547Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:01:44.547Z] The best model improves the baseline by 14.34%. [2026-02-25T22:01:44.858Z] Top recommended movies for user id 72: [2026-02-25T22:01:44.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:01:44.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:01:44.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:01:44.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:01:44.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:01:44.858Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14171.160 ms) ====== [2026-02-25T22:01:44.858Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-25T22:01:44.858Z] GC before operation: completed in 119.238 ms, heap usage 568.873 MB -> 92.547 MB. [2026-02-25T22:01:47.034Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:01:49.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:01:51.398Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:01:53.088Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:01:54.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:01:56.410Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:01:58.012Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:01:59.606Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:01:59.606Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:01:59.606Z] The best model improves the baseline by 14.34%. [2026-02-25T22:01:59.917Z] Top recommended movies for user id 72: [2026-02-25T22:01:59.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:01:59.917Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:01:59.917Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:01:59.917Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:01:59.917Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:01:59.917Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14981.639 ms) ====== [2026-02-25T22:01:59.917Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-25T22:01:59.917Z] GC before operation: completed in 116.734 ms, heap usage 336.924 MB -> 91.025 MB. [2026-02-25T22:02:03.600Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:02:06.486Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:02:10.143Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:02:13.018Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:02:14.623Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:02:16.220Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:02:17.812Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:02:18.906Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:02:18.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:02:18.906Z] The best model improves the baseline by 14.34%. [2026-02-25T22:02:19.223Z] Top recommended movies for user id 72: [2026-02-25T22:02:19.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:02:19.223Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:02:19.223Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:02:19.223Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:02:19.223Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:02:19.223Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19182.162 ms) ====== [2026-02-25T22:02:19.223Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-25T22:02:19.223Z] GC before operation: completed in 121.782 ms, heap usage 370.254 MB -> 91.043 MB. [2026-02-25T22:02:21.417Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:02:23.582Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:02:25.757Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:02:27.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:02:29.528Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:02:30.648Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:02:31.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:02:33.373Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:02:33.373Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:02:33.373Z] The best model improves the baseline by 14.34%. [2026-02-25T22:02:33.373Z] Top recommended movies for user id 72: [2026-02-25T22:02:33.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:02:33.373Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:02:33.373Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:02:33.373Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:02:33.373Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:02:33.373Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14208.895 ms) ====== [2026-02-25T22:02:33.373Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-25T22:02:33.685Z] GC before operation: completed in 122.342 ms, heap usage 571.081 MB -> 92.634 MB. [2026-02-25T22:02:35.887Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:02:38.068Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:02:40.256Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:02:41.851Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:02:43.474Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:02:44.621Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:02:45.723Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:02:46.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:02:47.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:02:47.131Z] The best model improves the baseline by 14.34%. [2026-02-25T22:02:47.441Z] Top recommended movies for user id 72: [2026-02-25T22:02:47.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:02:47.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:02:47.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:02:47.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:02:47.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:02:47.441Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13797.157 ms) ====== [2026-02-25T22:02:47.441Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-25T22:02:47.441Z] GC before operation: completed in 118.914 ms, heap usage 238.634 MB -> 89.100 MB. [2026-02-25T22:02:49.605Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:02:51.780Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:02:53.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:02:55.536Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:02:57.121Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:02:58.219Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:02:59.324Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:03:00.922Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:03:00.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:03:00.922Z] The best model improves the baseline by 14.34%. [2026-02-25T22:03:00.922Z] Top recommended movies for user id 72: [2026-02-25T22:03:00.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:03:00.922Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:03:00.922Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:03:00.922Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:03:00.922Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:03:00.922Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13496.796 ms) ====== [2026-02-25T22:03:00.922Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-25T22:03:01.232Z] GC before operation: completed in 117.732 ms, heap usage 365.463 MB -> 89.025 MB. [2026-02-25T22:03:03.405Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:03:05.634Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:03:07.245Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:03:08.894Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:03:10.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:03:11.639Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:03:12.732Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:03:13.831Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:03:14.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:03:14.142Z] The best model improves the baseline by 14.34%. [2026-02-25T22:03:14.142Z] Top recommended movies for user id 72: [2026-02-25T22:03:14.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:03:14.142Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:03:14.142Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:03:14.142Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:03:14.142Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:03:14.142Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13055.247 ms) ====== [2026-02-25T22:03:14.142Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-25T22:03:14.142Z] GC before operation: completed in 116.847 ms, heap usage 237.205 MB -> 89.035 MB. [2026-02-25T22:03:16.345Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:03:18.544Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:03:20.719Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:03:22.324Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:03:23.420Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:03:24.516Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:03:26.107Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:03:27.244Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:03:27.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:03:27.244Z] The best model improves the baseline by 14.34%. [2026-02-25T22:03:27.554Z] Top recommended movies for user id 72: [2026-02-25T22:03:27.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:03:27.554Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:03:27.554Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:03:27.554Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:03:27.554Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:03:27.554Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13120.658 ms) ====== [2026-02-25T22:03:27.554Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-25T22:03:27.554Z] GC before operation: completed in 115.179 ms, heap usage 220.549 MB -> 89.133 MB. [2026-02-25T22:03:29.739Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:03:31.970Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:03:34.161Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:03:35.759Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:03:36.878Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:03:37.971Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:03:39.070Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:03:40.655Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:03:40.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:03:40.655Z] The best model improves the baseline by 14.34%. [2026-02-25T22:03:40.655Z] Top recommended movies for user id 72: [2026-02-25T22:03:40.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:03:40.655Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:03:40.655Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:03:40.655Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:03:40.655Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:03:40.655Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13182.414 ms) ====== [2026-02-25T22:03:40.655Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-25T22:03:40.965Z] GC before operation: completed in 126.198 ms, heap usage 611.457 MB -> 92.783 MB. [2026-02-25T22:03:43.133Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:03:44.761Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:03:46.928Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:03:49.155Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:03:50.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:03:51.365Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:03:52.463Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:03:54.055Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:03:54.055Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:03:54.055Z] The best model improves the baseline by 14.34%. [2026-02-25T22:03:54.055Z] Top recommended movies for user id 72: [2026-02-25T22:03:54.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:03:54.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:03:54.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:03:54.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:03:54.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:03:54.055Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13275.622 ms) ====== [2026-02-25T22:03:54.055Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-25T22:03:54.370Z] GC before operation: completed in 122.101 ms, heap usage 444.707 MB -> 89.464 MB. [2026-02-25T22:03:56.544Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:03:58.139Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:04:00.326Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:04:02.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:04:03.173Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:04:04.776Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:04:05.885Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:04:06.980Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:04:07.293Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:04:07.293Z] The best model improves the baseline by 14.34%. [2026-02-25T22:04:07.293Z] Top recommended movies for user id 72: [2026-02-25T22:04:07.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:04:07.293Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:04:07.293Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:04:07.293Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:04:07.293Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:04:07.293Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13057.419 ms) ====== [2026-02-25T22:04:07.293Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-25T22:04:07.293Z] GC before operation: completed in 122.900 ms, heap usage 454.600 MB -> 92.586 MB. [2026-02-25T22:04:09.494Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:04:11.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:04:13.294Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:04:15.462Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:04:16.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:04:17.646Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:04:18.740Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:04:19.846Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:04:20.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:04:20.160Z] The best model improves the baseline by 14.34%. [2026-02-25T22:04:20.477Z] Top recommended movies for user id 72: [2026-02-25T22:04:20.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:04:20.477Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:04:20.477Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:04:20.477Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:04:20.477Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:04:20.477Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12912.015 ms) ====== [2026-02-25T22:04:20.477Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-25T22:04:20.477Z] GC before operation: completed in 119.588 ms, heap usage 314.984 MB -> 89.171 MB. [2026-02-25T22:04:22.645Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:04:24.250Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:04:26.417Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:04:28.603Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:04:29.699Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:04:30.793Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:04:31.885Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:04:33.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:04:33.374Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:04:33.374Z] The best model improves the baseline by 14.34%. [2026-02-25T22:04:33.374Z] Top recommended movies for user id 72: [2026-02-25T22:04:33.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:04:33.374Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:04:33.374Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:04:33.374Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:04:33.374Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:04:33.374Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12943.985 ms) ====== [2026-02-25T22:04:33.374Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-25T22:04:33.374Z] GC before operation: completed in 116.259 ms, heap usage 317.579 MB -> 89.100 MB. [2026-02-25T22:04:35.556Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:04:37.740Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:04:40.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:04:41.262Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:04:42.358Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:04:43.453Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:04:45.039Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:04:45.713Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:04:46.026Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:04:46.026Z] The best model improves the baseline by 14.34%. [2026-02-25T22:04:46.026Z] Top recommended movies for user id 72: [2026-02-25T22:04:46.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:04:46.026Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:04:46.026Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:04:46.026Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:04:46.026Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:04:46.026Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12679.013 ms) ====== [2026-02-25T22:04:46.026Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-25T22:04:46.338Z] GC before operation: completed in 116.747 ms, heap usage 609.386 MB -> 92.841 MB. [2026-02-25T22:04:48.510Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:04:50.097Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:04:52.259Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:04:54.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:04:55.587Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:04:56.686Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:04:57.777Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:04:58.868Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:04:59.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:04:59.179Z] The best model improves the baseline by 14.34%. [2026-02-25T22:04:59.179Z] Top recommended movies for user id 72: [2026-02-25T22:04:59.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:04:59.179Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:04:59.179Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:04:59.179Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:04:59.179Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:04:59.179Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13017.732 ms) ====== [2026-02-25T22:04:59.852Z] ----------------------------------- [2026-02-25T22:04:59.852Z] renaissance-movie-lens_0_PASSED [2026-02-25T22:04:59.852Z] ----------------------------------- [2026-02-25T22:04:59.852Z] [2026-02-25T22:04:59.852Z] TEST TEARDOWN: [2026-02-25T22:04:59.852Z] Nothing to be done for teardown. [2026-02-25T22:04:59.852Z] renaissance-movie-lens_0 Finish Time: Wed Feb 25 22:04:59 2026 Epoch Time (ms): 1772057099611