[2026-03-05T05:30:13.734Z] Running test renaissance-movie-lens_0 ... [2026-03-05T05:30:14.077Z] =============================================== [2026-03-05T05:30:14.077Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 05:30:13 2026 Epoch Time (ms): 1772688613861 [2026-03-05T05:30:14.077Z] variation: NoOptions [2026-03-05T05:30:14.077Z] JVM_OPTIONS: [2026-03-05T05:30:14.077Z] { \ [2026-03-05T05:30:14.077Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T05:30:14.077Z] echo "Nothing to be done for setup."; \ [2026-03-05T05:30:14.077Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726871194443\\renaissance-movie-lens_0"; \ [2026-03-05T05:30:14.077Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726871194443\\renaissance-movie-lens_0"; \ [2026-03-05T05:30:14.077Z] echo ""; echo "TESTING:"; \ [2026-03-05T05:30:14.078Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726871194443\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-03-05T05:30:14.078Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726871194443\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T05:30:14.078Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T05:30:14.078Z] echo "Nothing to be done for teardown."; \ [2026-03-05T05:30:14.078Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726871194443\\TestTargetResult"; [2026-03-05T05:30:14.433Z] [2026-03-05T05:30:14.433Z] TEST SETUP: [2026-03-05T05:30:14.433Z] Nothing to be done for setup. [2026-03-05T05:30:14.433Z] [2026-03-05T05:30:14.433Z] TESTING: [2026-03-05T05:30:27.751Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-05T05:30:35.269Z] 05:30:33.723 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T05:30:38.180Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T05:30:39.282Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T05:30:39.282Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T05:30:39.282Z] GC before operation: completed in 116.697 ms, heap usage 164.556 MB -> 75.791 MB. [2026-03-05T05:30:58.093Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:31:03.303Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:31:09.437Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:31:15.916Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:31:18.279Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:31:21.526Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:31:25.713Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:31:28.842Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:31:29.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:31:29.267Z] The best model improves the baseline by 14.34%. [2026-03-05T05:31:29.748Z] Top recommended movies for user id 72: [2026-03-05T05:31:29.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:31:29.748Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:31:29.748Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:31:29.748Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:31:29.748Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:31:29.748Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (50268.251 ms) ====== [2026-03-05T05:31:29.748Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T05:31:29.748Z] GC before operation: completed in 143.429 ms, heap usage 312.657 MB -> 89.565 MB. [2026-03-05T05:31:34.956Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:31:41.062Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:31:46.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:31:51.209Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:31:53.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:31:56.735Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:31:59.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:32:02.407Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:32:02.791Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:32:03.192Z] The best model improves the baseline by 14.34%. [2026-03-05T05:32:03.192Z] Top recommended movies for user id 72: [2026-03-05T05:32:03.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:32:03.192Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:32:03.192Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:32:03.192Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:32:03.192Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:32:03.192Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33617.805 ms) ====== [2026-03-05T05:32:03.192Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T05:32:03.969Z] GC before operation: completed in 140.441 ms, heap usage 245.908 MB -> 90.188 MB. [2026-03-05T05:32:09.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:32:14.021Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:32:19.026Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:32:24.033Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:32:27.150Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:32:29.657Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:32:32.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:32:35.944Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:32:35.944Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:32:35.944Z] The best model improves the baseline by 14.34%. [2026-03-05T05:32:35.944Z] Top recommended movies for user id 72: [2026-03-05T05:32:35.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:32:35.944Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:32:35.944Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:32:35.944Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:32:35.944Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:32:35.944Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32605.592 ms) ====== [2026-03-05T05:32:35.944Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T05:32:36.321Z] GC before operation: completed in 127.128 ms, heap usage 312.361 MB -> 88.518 MB. [2026-03-05T05:32:41.333Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:32:46.265Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:32:51.348Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:32:56.284Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:32:59.333Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:33:01.681Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:33:04.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:33:07.793Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:33:07.793Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:33:07.793Z] The best model improves the baseline by 14.34%. [2026-03-05T05:33:08.235Z] Top recommended movies for user id 72: [2026-03-05T05:33:08.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:33:08.235Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:33:08.235Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:33:08.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:33:08.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:33:08.235Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (31908.448 ms) ====== [2026-03-05T05:33:08.235Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T05:33:08.235Z] GC before operation: completed in 134.562 ms, heap usage 401.050 MB -> 89.054 MB. [2026-03-05T05:33:13.160Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:33:18.018Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:33:22.966Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:33:27.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:33:30.259Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:33:33.336Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:33:35.705Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:33:38.783Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:33:38.783Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:33:38.783Z] The best model improves the baseline by 14.34%. [2026-03-05T05:33:39.231Z] Top recommended movies for user id 72: [2026-03-05T05:33:39.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:33:39.231Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:33:39.231Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:33:39.231Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:33:39.231Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:33:39.231Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30886.370 ms) ====== [2026-03-05T05:33:39.231Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T05:33:39.232Z] GC before operation: completed in 124.512 ms, heap usage 410.759 MB -> 88.972 MB. [2026-03-05T05:33:44.152Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:33:49.121Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:33:53.956Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:33:58.827Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:34:01.870Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:34:04.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:34:07.383Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:34:09.712Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:34:10.465Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:34:10.466Z] The best model improves the baseline by 14.34%. [2026-03-05T05:34:10.466Z] Top recommended movies for user id 72: [2026-03-05T05:34:10.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:34:10.466Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:34:10.466Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:34:10.466Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:34:10.466Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:34:10.466Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31337.042 ms) ====== [2026-03-05T05:34:10.466Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T05:34:10.808Z] GC before operation: completed in 118.552 ms, heap usage 215.256 MB -> 93.422 MB. [2026-03-05T05:34:15.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:34:20.628Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:34:25.804Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:34:31.040Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:34:33.787Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:34:37.058Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:34:39.382Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:34:42.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:34:42.439Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:34:42.439Z] The best model improves the baseline by 14.34%. [2026-03-05T05:34:42.891Z] Top recommended movies for user id 72: [2026-03-05T05:34:42.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:34:42.891Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:34:42.891Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:34:42.891Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:34:42.891Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:34:42.891Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32168.697 ms) ====== [2026-03-05T05:34:42.891Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T05:34:43.244Z] GC before operation: completed in 117.445 ms, heap usage 181.221 MB -> 88.841 MB. [2026-03-05T05:34:48.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:34:52.198Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:34:57.214Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:35:02.108Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:35:04.493Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:35:07.542Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:35:10.625Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:35:13.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:35:13.533Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:35:13.533Z] The best model improves the baseline by 14.34%. [2026-03-05T05:35:13.533Z] Top recommended movies for user id 72: [2026-03-05T05:35:13.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:35:13.533Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:35:13.533Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:35:13.533Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:35:13.533Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:35:13.533Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30647.833 ms) ====== [2026-03-05T05:35:13.533Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T05:35:13.533Z] GC before operation: completed in 116.901 ms, heap usage 184.485 MB -> 95.727 MB. [2026-03-05T05:35:18.518Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:35:23.484Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:35:28.464Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:35:32.396Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:35:35.510Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:35:38.608Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:35:40.949Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:35:44.066Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:35:44.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:35:44.066Z] The best model improves the baseline by 14.34%. [2026-03-05T05:35:44.531Z] Top recommended movies for user id 72: [2026-03-05T05:35:44.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:35:44.531Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:35:44.531Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:35:44.531Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:35:44.531Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:35:44.531Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30656.519 ms) ====== [2026-03-05T05:35:44.531Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T05:35:44.531Z] GC before operation: completed in 130.831 ms, heap usage 770.201 MB -> 93.730 MB. [2026-03-05T05:35:49.402Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:35:54.275Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:35:59.343Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:36:03.240Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:36:06.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:36:08.651Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:36:11.690Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:36:14.811Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:36:14.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:36:14.811Z] The best model improves the baseline by 14.34%. [2026-03-05T05:36:14.811Z] Top recommended movies for user id 72: [2026-03-05T05:36:14.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:36:14.811Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:36:14.811Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:36:14.811Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:36:14.811Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:36:14.811Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30392.941 ms) ====== [2026-03-05T05:36:14.811Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T05:36:14.811Z] GC before operation: completed in 117.554 ms, heap usage 183.498 MB -> 90.286 MB. [2026-03-05T05:36:19.688Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:36:24.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:36:29.453Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:36:34.388Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:36:36.127Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:36:39.217Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:36:42.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:36:44.602Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:36:45.054Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:36:45.055Z] The best model improves the baseline by 14.34%. [2026-03-05T05:36:45.055Z] Top recommended movies for user id 72: [2026-03-05T05:36:45.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:36:45.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:36:45.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:36:45.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:36:45.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:36:45.055Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30145.161 ms) ====== [2026-03-05T05:36:45.055Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T05:36:45.418Z] GC before operation: completed in 119.697 ms, heap usage 210.906 MB -> 88.957 MB. [2026-03-05T05:36:50.343Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:36:54.202Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:36:59.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:37:03.956Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:37:06.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:37:09.426Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:37:11.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:37:14.862Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:37:14.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:37:14.862Z] The best model improves the baseline by 14.34%. [2026-03-05T05:37:15.351Z] Top recommended movies for user id 72: [2026-03-05T05:37:15.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:37:15.351Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:37:15.351Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:37:15.351Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:37:15.351Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:37:15.351Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29973.685 ms) ====== [2026-03-05T05:37:15.351Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T05:37:15.351Z] GC before operation: completed in 123.275 ms, heap usage 222.362 MB -> 91.396 MB. [2026-03-05T05:37:22.836Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:37:27.786Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:37:35.752Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:37:38.307Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:37:41.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:37:44.806Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:37:48.036Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:37:50.641Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:37:51.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:37:52.191Z] The best model improves the baseline by 14.34%. [2026-03-05T05:37:52.191Z] Top recommended movies for user id 72: [2026-03-05T05:37:52.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:37:52.191Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:37:52.191Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:37:52.191Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:37:52.191Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:37:52.191Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (36186.698 ms) ====== [2026-03-05T05:37:52.191Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T05:37:52.191Z] GC before operation: completed in 126.121 ms, heap usage 128.385 MB -> 89.149 MB. [2026-03-05T05:38:01.102Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:38:06.892Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:38:12.150Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:38:17.306Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:38:19.621Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:38:22.006Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:38:25.031Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:38:27.540Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:38:27.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:38:28.413Z] The best model improves the baseline by 14.34%. [2026-03-05T05:38:28.413Z] Top recommended movies for user id 72: [2026-03-05T05:38:28.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:38:28.413Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:38:28.413Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:38:28.413Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:38:28.413Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:38:28.413Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36625.899 ms) ====== [2026-03-05T05:38:28.413Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T05:38:28.413Z] GC before operation: completed in 126.371 ms, heap usage 248.987 MB -> 92.498 MB. [2026-03-05T05:38:33.275Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:38:38.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:38:43.025Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:38:46.911Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:38:49.949Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:38:52.326Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:38:55.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:38:57.789Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:38:58.238Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:38:58.238Z] The best model improves the baseline by 14.34%. [2026-03-05T05:38:58.238Z] Top recommended movies for user id 72: [2026-03-05T05:38:58.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:38:58.238Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:38:58.238Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:38:58.238Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:38:58.238Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:38:58.238Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29923.066 ms) ====== [2026-03-05T05:38:58.238Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T05:38:58.596Z] GC before operation: completed in 122.183 ms, heap usage 167.629 MB -> 90.386 MB. [2026-03-05T05:39:03.528Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:39:07.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:39:12.276Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:39:17.135Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:39:19.468Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:39:22.508Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:39:24.896Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:39:28.026Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:39:28.026Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:39:28.026Z] The best model improves the baseline by 14.34%. [2026-03-05T05:39:28.026Z] Top recommended movies for user id 72: [2026-03-05T05:39:28.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:39:28.026Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:39:28.026Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:39:28.026Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:39:28.026Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:39:28.026Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29657.173 ms) ====== [2026-03-05T05:39:28.026Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T05:39:28.388Z] GC before operation: completed in 128.944 ms, heap usage 401.905 MB -> 89.505 MB. [2026-03-05T05:39:33.243Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:39:37.223Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:39:42.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:39:47.044Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:39:49.414Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:39:51.758Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:39:54.804Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:39:57.156Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:39:57.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:39:57.511Z] The best model improves the baseline by 14.34%. [2026-03-05T05:39:57.994Z] Top recommended movies for user id 72: [2026-03-05T05:39:57.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:39:57.994Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:39:57.994Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:39:57.994Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:39:57.994Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:39:57.994Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (29609.508 ms) ====== [2026-03-05T05:39:57.994Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T05:39:57.994Z] GC before operation: completed in 121.530 ms, heap usage 209.117 MB -> 94.961 MB. [2026-03-05T05:40:02.889Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:40:07.774Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:40:11.716Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:40:16.598Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:40:18.963Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:40:22.047Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:40:24.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:40:27.488Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:40:27.488Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:40:27.488Z] The best model improves the baseline by 14.34%. [2026-03-05T05:40:27.924Z] Top recommended movies for user id 72: [2026-03-05T05:40:27.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:40:27.924Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:40:27.924Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:40:27.924Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:40:27.924Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:40:27.924Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29782.929 ms) ====== [2026-03-05T05:40:27.924Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T05:40:27.924Z] GC before operation: completed in 124.045 ms, heap usage 398.588 MB -> 91.558 MB. [2026-03-05T05:40:32.790Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:40:36.888Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:40:41.861Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:40:46.758Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:40:49.091Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:40:51.423Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:40:54.464Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:40:56.837Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:40:57.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:40:57.206Z] The best model improves the baseline by 14.34%. [2026-03-05T05:40:57.648Z] Top recommended movies for user id 72: [2026-03-05T05:40:57.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:40:57.648Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:40:57.648Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:40:57.648Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:40:57.648Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:40:57.648Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29541.958 ms) ====== [2026-03-05T05:40:57.648Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T05:40:57.648Z] GC before operation: completed in 125.663 ms, heap usage 434.742 MB -> 89.540 MB. [2026-03-05T05:41:02.557Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T05:41:07.407Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T05:41:11.327Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T05:41:16.175Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T05:41:18.519Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T05:41:21.552Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T05:41:23.923Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T05:41:26.969Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T05:41:26.970Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T05:41:26.970Z] The best model improves the baseline by 14.34%. [2026-03-05T05:41:26.970Z] Top recommended movies for user id 72: [2026-03-05T05:41:26.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T05:41:26.970Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T05:41:26.970Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T05:41:26.970Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T05:41:26.970Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T05:41:26.970Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (29560.688 ms) ====== [2026-03-05T05:41:27.322Z] ----------------------------------- [2026-03-05T05:41:27.322Z] renaissance-movie-lens_0_PASSED [2026-03-05T05:41:27.322Z] ----------------------------------- [2026-03-05T05:41:28.058Z] [2026-03-05T05:41:28.058Z] TEST TEARDOWN: [2026-03-05T05:41:28.058Z] Nothing to be done for teardown. [2026-03-05T05:41:28.058Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 05:41:27 2026 Epoch Time (ms): 1772689287813