[2025-06-30T21:24:34.796Z] Running test renaissance-movie-lens_0 ... [2025-06-30T21:24:34.796Z] =============================================== [2025-06-30T21:24:34.796Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 22:24:34 2025 Epoch Time (ms): 1751318674168 [2025-06-30T21:24:34.796Z] variation: NoOptions [2025-06-30T21:24:34.796Z] JVM_OPTIONS: [2025-06-30T21:24:34.796Z] { \ [2025-06-30T21:24:34.796Z] echo ""; echo "TEST SETUP:"; \ [2025-06-30T21:24:34.796Z] echo "Nothing to be done for setup."; \ [2025-06-30T21:24:34.796Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17513124431679/renaissance-movie-lens_0"; \ [2025-06-30T21:24:34.796Z] cd "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17513124431679/renaissance-movie-lens_0"; \ [2025-06-30T21:24:34.797Z] echo ""; echo "TESTING:"; \ [2025-06-30T21:24:34.797Z] "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17513124431679/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-30T21:24:34.797Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17513124431679/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-30T21:24:34.797Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-30T21:24:34.797Z] echo "Nothing to be done for teardown."; \ [2025-06-30T21:24:34.797Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17513124431679/TestTargetResult"; [2025-06-30T21:24:34.797Z] [2025-06-30T21:24:34.797Z] TEST SETUP: [2025-06-30T21:24:34.797Z] Nothing to be done for setup. [2025-06-30T21:24:34.797Z] [2025-06-30T21:24:34.797Z] TESTING: [2025-06-30T21:24:40.913Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-06-30T21:24:50.082Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-30T21:24:50.082Z] Training: 60056, validation: 20285, test: 19854 [2025-06-30T21:24:50.082Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-30T21:24:50.082Z] GC before operation: completed in 93.881 ms, heap usage 324.071 MB -> 76.293 MB. [2025-06-30T21:25:09.598Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:25:20.725Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:25:34.181Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:25:45.290Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:25:51.424Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:25:56.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:26:03.904Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:26:10.036Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:26:10.036Z] 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. [2025-06-30T21:26:10.036Z] The best model improves the baseline by 14.43%. [2025-06-30T21:26:10.036Z] Top recommended movies for user id 72: [2025-06-30T21:26:10.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:26:10.036Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:26:10.036Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:26:10.036Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:26:10.036Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:26:10.036Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (80476.830 ms) ====== [2025-06-30T21:26:10.036Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-30T21:26:10.036Z] GC before operation: completed in 128.769 ms, heap usage 1.070 GB -> 113.460 MB. [2025-06-30T21:26:23.478Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:26:34.598Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:26:48.064Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:26:57.227Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:27:03.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:27:09.521Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:27:17.041Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:27:23.170Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:27:23.524Z] 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. [2025-06-30T21:27:23.524Z] The best model improves the baseline by 14.43%. [2025-06-30T21:27:23.880Z] Top recommended movies for user id 72: [2025-06-30T21:27:23.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:27:23.880Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:27:23.880Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:27:23.880Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:27:23.880Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:27:23.880Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (73850.069 ms) ====== [2025-06-30T21:27:23.880Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-30T21:27:23.880Z] GC before operation: completed in 104.258 ms, heap usage 1013.675 MB -> 101.304 MB. [2025-06-30T21:27:37.334Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:27:50.828Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:28:04.270Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:28:15.401Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:28:22.912Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:28:29.040Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:28:38.194Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:28:44.321Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:28:44.321Z] 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. [2025-06-30T21:28:44.321Z] The best model improves the baseline by 14.43%. [2025-06-30T21:28:44.673Z] Top recommended movies for user id 72: [2025-06-30T21:28:44.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:28:44.673Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:28:44.673Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:28:44.673Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:28:44.673Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:28:44.673Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (80589.474 ms) ====== [2025-06-30T21:28:44.673Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-30T21:28:44.673Z] GC before operation: completed in 96.459 ms, heap usage 955.864 MB -> 98.767 MB. [2025-06-30T21:28:58.164Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:29:11.611Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:29:25.057Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:29:36.174Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:29:43.694Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:29:49.818Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:29:58.982Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:30:03.970Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:30:03.970Z] 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. [2025-06-30T21:30:03.970Z] The best model improves the baseline by 14.43%. [2025-06-30T21:30:04.323Z] Top recommended movies for user id 72: [2025-06-30T21:30:04.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:30:04.323Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:30:04.323Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:30:04.323Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:30:04.323Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:30:04.323Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (79662.665 ms) ====== [2025-06-30T21:30:04.323Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-30T21:30:04.323Z] GC before operation: completed in 123.208 ms, heap usage 699.958 MB -> 105.947 MB. [2025-06-30T21:30:17.760Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:30:28.893Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:30:45.116Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:30:54.290Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:31:00.428Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:31:06.563Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:31:14.090Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:31:20.221Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:31:20.221Z] 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. [2025-06-30T21:31:20.221Z] The best model improves the baseline by 14.43%. [2025-06-30T21:31:20.221Z] Top recommended movies for user id 72: [2025-06-30T21:31:20.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:31:20.221Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:31:20.221Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:31:20.221Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:31:20.221Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:31:20.221Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (75709.351 ms) ====== [2025-06-30T21:31:20.221Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-30T21:31:20.221Z] GC before operation: completed in 104.619 ms, heap usage 1008.152 MB -> 120.666 MB. [2025-06-30T21:31:33.671Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:31:44.792Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:32:01.014Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:32:10.217Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:32:17.740Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:32:22.690Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:32:30.207Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:32:36.341Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:32:36.697Z] 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. [2025-06-30T21:32:36.697Z] The best model improves the baseline by 14.43%. [2025-06-30T21:32:36.697Z] Top recommended movies for user id 72: [2025-06-30T21:32:36.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:32:36.697Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:32:36.697Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:32:36.697Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:32:36.697Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:32:36.697Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (76611.528 ms) ====== [2025-06-30T21:32:36.697Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-30T21:32:37.051Z] GC before operation: completed in 100.235 ms, heap usage 363.585 MB -> 120.592 MB. [2025-06-30T21:32:50.522Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:33:01.640Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:33:17.852Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:33:27.021Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:33:36.188Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:33:42.305Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:33:49.826Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:33:55.953Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:33:55.954Z] 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. [2025-06-30T21:33:55.954Z] The best model improves the baseline by 14.43%. [2025-06-30T21:33:55.954Z] Top recommended movies for user id 72: [2025-06-30T21:33:55.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:33:55.954Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:33:55.954Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:33:55.954Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:33:55.954Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:33:55.954Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (78678.819 ms) ====== [2025-06-30T21:33:55.954Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-30T21:33:55.954Z] GC before operation: completed in 107.894 ms, heap usage 548.361 MB -> 106.073 MB. [2025-06-30T21:34:09.394Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:34:20.519Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:34:36.741Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:34:45.914Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:34:52.044Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:34:59.565Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:35:07.083Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:35:13.206Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:35:13.206Z] 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. [2025-06-30T21:35:13.206Z] The best model improves the baseline by 14.43%. [2025-06-30T21:35:13.206Z] Top recommended movies for user id 72: [2025-06-30T21:35:13.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:35:13.206Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:35:13.206Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:35:13.206Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:35:13.206Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:35:13.206Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (77458.931 ms) ====== [2025-06-30T21:35:13.206Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-30T21:35:13.207Z] GC before operation: completed in 88.672 ms, heap usage 721.005 MB -> 103.030 MB. [2025-06-30T21:35:26.661Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:35:37.786Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:35:54.129Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:36:03.294Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:36:09.418Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:36:15.545Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:36:23.070Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:36:29.215Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:36:29.215Z] 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. [2025-06-30T21:36:29.215Z] The best model improves the baseline by 14.43%. [2025-06-30T21:36:29.215Z] Top recommended movies for user id 72: [2025-06-30T21:36:29.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:36:29.215Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:36:29.215Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:36:29.215Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:36:29.215Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:36:29.215Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (76046.116 ms) ====== [2025-06-30T21:36:29.215Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-30T21:36:29.570Z] GC before operation: completed in 102.588 ms, heap usage 851.839 MB -> 120.944 MB. [2025-06-30T21:36:43.021Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:36:54.144Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:37:07.596Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:37:18.738Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:37:24.861Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:37:30.991Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:37:38.512Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:37:44.652Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:37:44.652Z] 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. [2025-06-30T21:37:44.652Z] The best model improves the baseline by 14.43%. [2025-06-30T21:37:45.007Z] Top recommended movies for user id 72: [2025-06-30T21:37:45.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:37:45.007Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:37:45.007Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:37:45.007Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:37:45.007Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:37:45.007Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (75432.723 ms) ====== [2025-06-30T21:37:45.007Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-30T21:37:45.007Z] GC before operation: completed in 104.390 ms, heap usage 626.103 MB -> 121.128 MB. [2025-06-30T21:37:58.448Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:38:09.565Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:38:25.777Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:38:34.952Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:38:41.075Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:38:47.193Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:38:54.798Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:39:00.922Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:39:00.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T21:39:00.922Z] The best model improves the baseline by 14.43%. [2025-06-30T21:39:00.922Z] Top recommended movies for user id 72: [2025-06-30T21:39:00.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:39:00.922Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:39:00.922Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:39:00.922Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:39:00.922Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:39:00.922Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (75968.244 ms) ====== [2025-06-30T21:39:00.922Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-30T21:39:00.922Z] GC before operation: completed in 111.263 ms, heap usage 1.008 GB -> 120.863 MB. [2025-06-30T21:39:14.375Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:39:27.815Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:39:44.046Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:39:57.475Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:40:02.426Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:40:08.564Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:40:16.085Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:40:22.208Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:40:22.208Z] 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. [2025-06-30T21:40:22.208Z] The best model improves the baseline by 14.43%. [2025-06-30T21:40:22.565Z] Top recommended movies for user id 72: [2025-06-30T21:40:22.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:40:22.565Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:40:22.565Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:40:22.565Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:40:22.565Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:40:22.565Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (81468.877 ms) ====== [2025-06-30T21:40:22.565Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-30T21:40:22.565Z] GC before operation: completed in 95.010 ms, heap usage 826.415 MB -> 109.967 MB. [2025-06-30T21:40:36.008Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:40:49.464Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:41:05.678Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:41:16.800Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:41:24.346Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:41:30.737Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:41:39.920Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:41:44.878Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:41:45.231Z] 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. [2025-06-30T21:41:45.231Z] The best model improves the baseline by 14.43%. [2025-06-30T21:41:45.588Z] Top recommended movies for user id 72: [2025-06-30T21:41:45.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:41:45.588Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:41:45.588Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:41:45.588Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:41:45.588Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:41:45.588Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (82982.612 ms) ====== [2025-06-30T21:41:45.588Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-30T21:41:45.588Z] GC before operation: completed in 129.350 ms, heap usage 751.441 MB -> 121.200 MB. [2025-06-30T21:42:01.824Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:42:12.968Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:42:26.982Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:42:38.106Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:42:45.635Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:42:51.777Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:43:00.960Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:43:16.004Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:43:16.004Z] 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. [2025-06-30T21:43:16.004Z] The best model improves the baseline by 14.43%. [2025-06-30T21:43:16.358Z] Top recommended movies for user id 72: [2025-06-30T21:43:16.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:43:16.358Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:43:16.358Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:43:16.358Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:43:16.358Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:43:16.359Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (90557.513 ms) ====== [2025-06-30T21:43:16.359Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-30T21:43:16.359Z] GC before operation: completed in 86.210 ms, heap usage 216.784 MB -> 108.336 MB. [2025-06-30T21:43:29.806Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:43:43.260Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:43:59.487Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:44:10.606Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:44:15.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:44:21.703Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:44:29.222Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:44:35.348Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:44:35.348Z] 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. [2025-06-30T21:44:35.348Z] The best model improves the baseline by 14.43%. [2025-06-30T21:44:35.348Z] Top recommended movies for user id 72: [2025-06-30T21:44:35.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:44:35.348Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:44:35.348Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:44:35.348Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:44:35.348Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:44:35.348Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (78670.230 ms) ====== [2025-06-30T21:44:35.348Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-30T21:44:35.348Z] GC before operation: completed in 104.962 ms, heap usage 1.036 GB -> 121.255 MB. [2025-06-30T21:44:48.788Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:44:59.913Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:45:16.121Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:45:27.247Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:45:42.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:45:48.776Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:45:57.926Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:46:04.047Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:46:04.047Z] 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. [2025-06-30T21:46:04.047Z] The best model improves the baseline by 14.43%. [2025-06-30T21:46:04.047Z] Top recommended movies for user id 72: [2025-06-30T21:46:04.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:46:04.047Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:46:04.047Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:46:04.047Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:46:04.047Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:46:04.047Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (88503.630 ms) ====== [2025-06-30T21:46:04.047Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-30T21:46:04.047Z] GC before operation: completed in 121.185 ms, heap usage 1.504 GB -> 121.358 MB. [2025-06-30T21:46:17.491Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:46:31.041Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:46:50.556Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:47:01.672Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:47:07.891Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:47:14.041Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:47:21.562Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:47:27.693Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:47:27.693Z] 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. [2025-06-30T21:47:27.693Z] The best model improves the baseline by 14.43%. [2025-06-30T21:47:27.693Z] Top recommended movies for user id 72: [2025-06-30T21:47:27.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:47:27.693Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:47:27.693Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:47:27.693Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:47:27.693Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:47:27.693Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (83970.168 ms) ====== [2025-06-30T21:47:27.693Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-30T21:47:27.693Z] GC before operation: completed in 97.124 ms, heap usage 923.680 MB -> 114.113 MB. [2025-06-30T21:47:41.148Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:47:52.266Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:48:08.518Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:48:17.677Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:48:23.798Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:48:29.915Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:48:37.451Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:48:43.603Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:48:43.603Z] 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. [2025-06-30T21:48:43.603Z] The best model improves the baseline by 14.43%. [2025-06-30T21:48:43.603Z] Top recommended movies for user id 72: [2025-06-30T21:48:43.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:48:43.603Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:48:43.603Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:48:43.603Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:48:43.603Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:48:43.603Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (75782.564 ms) ====== [2025-06-30T21:48:43.603Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-30T21:48:43.603Z] GC before operation: completed in 105.243 ms, heap usage 840.537 MB -> 121.236 MB. [2025-06-30T21:48:57.039Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:49:10.513Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:49:26.817Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:49:37.934Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:49:44.061Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:49:50.204Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:49:57.727Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:50:03.851Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:50:03.851Z] 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. [2025-06-30T21:50:03.851Z] The best model improves the baseline by 14.43%. [2025-06-30T21:50:04.209Z] Top recommended movies for user id 72: [2025-06-30T21:50:04.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:50:04.209Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:50:04.209Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:50:04.209Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:50:04.209Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:50:04.209Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (80346.337 ms) ====== [2025-06-30T21:50:04.209Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-30T21:50:04.209Z] GC before operation: completed in 104.585 ms, heap usage 899.835 MB -> 121.303 MB. [2025-06-30T21:50:17.694Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:50:42.156Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:50:55.609Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:51:06.752Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:51:12.885Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:51:19.010Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:51:28.186Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:51:34.323Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:51:34.323Z] 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. [2025-06-30T21:51:34.323Z] The best model improves the baseline by 14.43%. [2025-06-30T21:51:34.323Z] Top recommended movies for user id 72: [2025-06-30T21:51:34.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T21:51:34.323Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T21:51:34.323Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T21:51:34.323Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T21:51:34.323Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T21:51:34.323Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (89873.779 ms) ====== [2025-06-30T21:51:36.086Z] ----------------------------------- [2025-06-30T21:51:36.086Z] renaissance-movie-lens_0_PASSED [2025-06-30T21:51:36.086Z] ----------------------------------- [2025-06-30T21:51:36.086Z] [2025-06-30T21:51:36.086Z] TEST TEARDOWN: [2025-06-30T21:51:36.086Z] Nothing to be done for teardown. [2025-06-30T21:51:36.086Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 22:51:35 2025 Epoch Time (ms): 1751320295910