Test Results Summary Service

renaissance-movie-lens_0

[2025-06-30T20:05:58.114Z] Running test renaissance-movie-lens_0 ... [2025-06-30T20:05:58.114Z] =============================================== [2025-06-30T20:05:58.114Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 20:05:57 2025 Epoch Time (ms): 1751313957353 [2025-06-30T20:05:58.114Z] variation: NoOptions [2025-06-30T20:05:58.114Z] JVM_OPTIONS: [2025-06-30T20:05:58.114Z] { \ [2025-06-30T20:05:58.114Z] echo ""; echo "TEST SETUP:"; \ [2025-06-30T20:05:58.114Z] echo "Nothing to be done for setup."; \ [2025-06-30T20:05:58.114Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513127088099/renaissance-movie-lens_0"; \ [2025-06-30T20:05:58.114Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513127088099/renaissance-movie-lens_0"; \ [2025-06-30T20:05:58.114Z] echo ""; echo "TESTING:"; \ [2025-06-30T20:05:58.114Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513127088099/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-30T20:05:58.114Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513127088099/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-30T20:05:58.114Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-30T20:05:58.114Z] echo "Nothing to be done for teardown."; \ [2025-06-30T20:05:58.114Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513127088099/TestTargetResult"; [2025-06-30T20:05:58.114Z] [2025-06-30T20:05:58.114Z] TEST SETUP: [2025-06-30T20:05:58.114Z] Nothing to be done for setup. [2025-06-30T20:05:58.114Z] [2025-06-30T20:05:58.114Z] TESTING: [2025-06-30T20:06:05.016Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-06-30T20:06:15.005Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-30T20:06:15.782Z] Training: 60056, validation: 20285, test: 19854 [2025-06-30T20:06:15.782Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-30T20:06:15.782Z] GC before operation: completed in 152.734 ms, heap usage 445.937 MB -> 75.654 MB. [2025-06-30T20:06:21.427Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:06:24.877Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:06:28.377Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:06:31.834Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:06:33.445Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:06:35.050Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:06:37.541Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:06:39.152Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:06:39.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:06:39.930Z] The best model improves the baseline by 14.43%. [2025-06-30T20:06:39.930Z] Top recommended movies for user id 72: [2025-06-30T20:06:39.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:06:39.930Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:06:39.930Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:06:39.930Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:06:39.930Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:06:39.930Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24089.603 ms) ====== [2025-06-30T20:06:39.930Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-30T20:06:39.930Z] GC before operation: completed in 162.246 ms, heap usage 316.993 MB -> 89.868 MB. [2025-06-30T20:06:43.376Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:06:46.827Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:06:50.279Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:06:52.775Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:06:55.267Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:06:56.878Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:06:59.372Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:07:00.984Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:07:00.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:07:00.984Z] The best model improves the baseline by 14.43%. [2025-06-30T20:07:01.760Z] Top recommended movies for user id 72: [2025-06-30T20:07:01.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:07:01.761Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:07:01.761Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:07:01.761Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:07:01.761Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:07:01.761Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21348.344 ms) ====== [2025-06-30T20:07:01.761Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-30T20:07:01.761Z] GC before operation: completed in 146.058 ms, heap usage 215.252 MB -> 90.049 MB. [2025-06-30T20:07:05.229Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:07:07.733Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:07:11.203Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:07:14.655Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:07:16.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:07:18.751Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:07:20.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:07:21.970Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:07:22.746Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:07:22.746Z] The best model improves the baseline by 14.43%. [2025-06-30T20:07:22.746Z] Top recommended movies for user id 72: [2025-06-30T20:07:22.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:07:22.746Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:07:22.746Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:07:22.746Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:07:22.746Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:07:22.746Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21211.510 ms) ====== [2025-06-30T20:07:22.746Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-30T20:07:22.746Z] GC before operation: completed in 148.904 ms, heap usage 147.137 MB -> 90.760 MB. [2025-06-30T20:07:26.205Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:07:29.658Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:07:32.144Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:07:35.616Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:07:37.228Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:07:38.831Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:07:40.437Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:07:42.952Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:07:42.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:07:42.952Z] The best model improves the baseline by 14.43%. [2025-06-30T20:07:42.952Z] Top recommended movies for user id 72: [2025-06-30T20:07:42.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:07:42.952Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:07:42.952Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:07:42.952Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:07:42.952Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:07:42.952Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19887.704 ms) ====== [2025-06-30T20:07:42.952Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-30T20:07:42.952Z] GC before operation: completed in 164.306 ms, heap usage 2.300 GB -> 97.599 MB. [2025-06-30T20:07:46.395Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:07:48.885Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:07:52.329Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:07:55.814Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:07:57.417Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:07:59.024Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:08:00.655Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:08:02.267Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:08:03.043Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:08:03.043Z] The best model improves the baseline by 14.43%. [2025-06-30T20:08:03.043Z] Top recommended movies for user id 72: [2025-06-30T20:08:03.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:08:03.043Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:08:03.043Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:08:03.043Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:08:03.043Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:08:03.043Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19958.471 ms) ====== [2025-06-30T20:08:03.043Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-30T20:08:03.043Z] GC before operation: completed in 163.184 ms, heap usage 2.828 GB -> 97.462 MB. [2025-06-30T20:08:06.505Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:08:08.995Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:08:12.459Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:08:14.964Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:08:16.569Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:08:18.171Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:08:20.673Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:08:22.284Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:08:22.284Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:08:22.284Z] The best model improves the baseline by 14.43%. [2025-06-30T20:08:22.284Z] Top recommended movies for user id 72: [2025-06-30T20:08:22.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:08:22.284Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:08:22.284Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:08:22.284Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:08:22.284Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:08:22.284Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19092.929 ms) ====== [2025-06-30T20:08:22.284Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-30T20:08:22.284Z] GC before operation: completed in 176.986 ms, heap usage 2.425 GB -> 97.754 MB. [2025-06-30T20:08:25.738Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:08:28.228Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:08:31.679Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:08:34.180Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:08:36.674Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:08:38.293Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:08:39.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:08:41.524Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:08:42.307Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:08:42.307Z] The best model improves the baseline by 14.43%. [2025-06-30T20:08:42.307Z] Top recommended movies for user id 72: [2025-06-30T20:08:42.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:08:42.307Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:08:42.307Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:08:42.307Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:08:42.307Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:08:42.307Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19795.623 ms) ====== [2025-06-30T20:08:42.307Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-30T20:08:42.307Z] GC before operation: completed in 158.322 ms, heap usage 1.415 GB -> 96.671 MB. [2025-06-30T20:08:45.773Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:08:48.272Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:08:51.798Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:08:55.244Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:08:56.852Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:08:58.453Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:09:00.955Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:09:02.582Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:09:02.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:09:02.582Z] The best model improves the baseline by 14.43%. [2025-06-30T20:09:02.582Z] Top recommended movies for user id 72: [2025-06-30T20:09:02.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:09:02.582Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:09:02.582Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:09:02.582Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:09:02.582Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:09:02.582Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20398.126 ms) ====== [2025-06-30T20:09:02.582Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-30T20:09:03.360Z] GC before operation: completed in 147.714 ms, heap usage 339.410 MB -> 91.950 MB. [2025-06-30T20:09:05.858Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:09:09.331Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:09:12.809Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:09:15.299Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:09:16.907Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:09:19.431Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:09:21.040Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:09:22.651Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:09:22.651Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:09:22.651Z] The best model improves the baseline by 14.43%. [2025-06-30T20:09:22.651Z] Top recommended movies for user id 72: [2025-06-30T20:09:22.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:09:22.651Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:09:22.651Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:09:22.651Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:09:22.651Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:09:22.651Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19922.658 ms) ====== [2025-06-30T20:09:22.651Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-30T20:09:23.426Z] GC before operation: completed in 164.448 ms, heap usage 2.619 GB -> 97.906 MB. [2025-06-30T20:09:25.912Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:09:29.365Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:09:31.858Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:09:34.347Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:09:35.955Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:09:38.445Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:09:40.054Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:09:41.681Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:09:41.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:09:41.681Z] The best model improves the baseline by 14.43%. [2025-06-30T20:09:41.681Z] Top recommended movies for user id 72: [2025-06-30T20:09:41.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:09:41.681Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:09:41.681Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:09:41.681Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:09:41.681Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:09:41.681Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18901.622 ms) ====== [2025-06-30T20:09:41.681Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-30T20:09:42.462Z] GC before operation: completed in 162.240 ms, heap usage 2.239 GB -> 98.137 MB. [2025-06-30T20:09:44.970Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:09:48.420Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:09:51.881Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:09:54.371Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:09:56.856Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:09:58.467Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:10:00.077Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:10:02.605Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:10:02.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:10:02.605Z] The best model improves the baseline by 14.43%. [2025-06-30T20:10:02.605Z] Top recommended movies for user id 72: [2025-06-30T20:10:02.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:10:02.605Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:10:02.605Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:10:02.605Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:10:02.605Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:10:02.605Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20573.600 ms) ====== [2025-06-30T20:10:02.605Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-30T20:10:02.605Z] GC before operation: completed in 153.854 ms, heap usage 335.460 MB -> 91.644 MB. [2025-06-30T20:10:06.086Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:10:08.577Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:10:12.218Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:10:14.706Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:10:16.310Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:10:17.912Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:10:19.525Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:10:21.128Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:10:21.905Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:10:21.905Z] The best model improves the baseline by 14.43%. [2025-06-30T20:10:21.905Z] Top recommended movies for user id 72: [2025-06-30T20:10:21.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:10:21.905Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:10:21.905Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:10:21.905Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:10:21.905Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:10:21.905Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18982.102 ms) ====== [2025-06-30T20:10:21.905Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-30T20:10:21.905Z] GC before operation: completed in 191.954 ms, heap usage 2.260 GB -> 98.158 MB. [2025-06-30T20:10:25.398Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:10:27.890Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:10:31.354Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:10:34.803Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:10:36.423Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:10:38.034Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:10:39.640Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:10:42.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:10:42.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:10:42.127Z] The best model improves the baseline by 14.43%. [2025-06-30T20:10:42.127Z] Top recommended movies for user id 72: [2025-06-30T20:10:42.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:10:42.127Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:10:42.127Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:10:42.127Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:10:42.127Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:10:42.127Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20129.013 ms) ====== [2025-06-30T20:10:42.127Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-30T20:10:42.127Z] GC before operation: completed in 157.590 ms, heap usage 118.076 MB -> 95.519 MB. [2025-06-30T20:10:45.572Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:10:48.060Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:10:51.517Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:10:54.037Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:10:55.654Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:10:57.271Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:10:59.022Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:11:00.639Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:11:01.484Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:11:01.484Z] The best model improves the baseline by 14.43%. [2025-06-30T20:11:01.484Z] Top recommended movies for user id 72: [2025-06-30T20:11:01.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:11:01.484Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:11:01.484Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:11:01.484Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:11:01.484Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:11:01.484Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18925.036 ms) ====== [2025-06-30T20:11:01.484Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-30T20:11:01.484Z] GC before operation: completed in 158.736 ms, heap usage 2.347 GB -> 98.044 MB. [2025-06-30T20:11:05.024Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:11:07.536Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:11:11.009Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:11:13.513Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:11:15.544Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:11:17.704Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:11:18.847Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:11:20.449Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:11:21.223Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:11:21.223Z] The best model improves the baseline by 14.43%. [2025-06-30T20:11:21.223Z] Top recommended movies for user id 72: [2025-06-30T20:11:21.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:11:21.223Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:11:21.223Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:11:21.223Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:11:21.223Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:11:21.223Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19827.945 ms) ====== [2025-06-30T20:11:21.223Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-30T20:11:21.223Z] GC before operation: completed in 159.988 ms, heap usage 312.506 MB -> 92.023 MB. [2025-06-30T20:11:24.685Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:11:28.147Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:11:31.602Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:11:34.103Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:11:35.714Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:11:38.219Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:11:39.822Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:11:41.429Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:11:41.429Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:11:41.429Z] The best model improves the baseline by 14.43%. [2025-06-30T20:11:42.204Z] Top recommended movies for user id 72: [2025-06-30T20:11:42.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:11:42.204Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:11:42.204Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:11:42.204Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:11:42.204Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:11:42.204Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20401.976 ms) ====== [2025-06-30T20:11:42.204Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-30T20:11:42.204Z] GC before operation: completed in 171.261 ms, heap usage 2.868 GB -> 98.229 MB. [2025-06-30T20:11:44.692Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:11:48.137Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:11:50.640Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:11:54.112Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:11:55.732Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:11:57.337Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:11:58.949Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:12:00.573Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:12:00.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:12:00.573Z] The best model improves the baseline by 14.43%. [2025-06-30T20:12:00.573Z] Top recommended movies for user id 72: [2025-06-30T20:12:00.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:12:00.573Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:12:00.573Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:12:00.573Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:12:00.573Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:12:00.573Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18873.923 ms) ====== [2025-06-30T20:12:00.573Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-30T20:12:01.356Z] GC before operation: completed in 175.210 ms, heap usage 2.565 GB -> 98.187 MB. [2025-06-30T20:12:03.844Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:12:07.328Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:12:09.837Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:12:12.347Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:12:13.969Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:12:15.578Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:12:18.107Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:12:19.728Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:12:19.728Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:12:19.728Z] The best model improves the baseline by 14.43%. [2025-06-30T20:12:19.728Z] Top recommended movies for user id 72: [2025-06-30T20:12:19.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:12:19.728Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:12:19.728Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:12:19.728Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:12:19.728Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:12:19.728Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18762.304 ms) ====== [2025-06-30T20:12:19.728Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-30T20:12:19.728Z] GC before operation: completed in 155.461 ms, heap usage 264.332 MB -> 91.697 MB. [2025-06-30T20:12:23.467Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:12:25.965Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:12:29.416Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:12:31.908Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:12:33.519Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:12:36.010Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:12:37.611Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:12:39.215Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:12:39.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:12:39.995Z] The best model improves the baseline by 14.43%. [2025-06-30T20:12:39.995Z] Top recommended movies for user id 72: [2025-06-30T20:12:39.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:12:39.995Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:12:39.995Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:12:39.995Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:12:39.995Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:12:39.995Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19858.211 ms) ====== [2025-06-30T20:12:39.995Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-30T20:12:39.995Z] GC before operation: completed in 137.236 ms, heap usage 179.504 MB -> 91.857 MB. [2025-06-30T20:12:43.459Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:12:45.948Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:12:49.401Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:12:51.885Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:12:54.383Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:12:55.985Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:12:57.590Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:13:00.080Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:13:00.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:13:00.080Z] The best model improves the baseline by 14.43%. [2025-06-30T20:13:00.080Z] Top recommended movies for user id 72: [2025-06-30T20:13:00.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:13:00.080Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:13:00.080Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:13:00.080Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:13:00.080Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:13:00.080Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20188.786 ms) ====== [2025-06-30T20:13:00.854Z] ----------------------------------- [2025-06-30T20:13:00.854Z] renaissance-movie-lens_0_PASSED [2025-06-30T20:13:00.854Z] ----------------------------------- [2025-06-30T20:13:00.854Z] [2025-06-30T20:13:00.854Z] TEST TEARDOWN: [2025-06-30T20:13:00.854Z] Nothing to be done for teardown. [2025-06-30T20:13:00.854Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 20:13:00 2025 Epoch Time (ms): 1751314380566