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OpenML
Task
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 3887 Supervised Classification analcatdata_germangss 555 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_50 study_7 under100k under1m
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555 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8669, kappa: 0.5904, kb_relative_information_score: 164.6731, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8946, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6936, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.7842, kappa: 0.3564, kb_relative_information_score: 131.6312, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7794, predictive_accuracy: 0.795, prior_entropy: 0.7716, recall: 0.795, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0843, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9163, kappa: 0.7637, kb_relative_information_score: 287.9891, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9184, predictive_accuracy: 0.915, prior_entropy: 0.7716, recall: 0.915, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6982, scimark_benchmark: 1313.9994, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: 105.5716, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.1359, scimark_benchmark: 1034.1273, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9011, kappa: 0.7125, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9004, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9011, kappa: 0.7125, kb_relative_information_score: 238.8436, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9004, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6121, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.9038, kappa: 0.721, kb_relative_information_score: 274.9592, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9032, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.7381, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9163, kappa: 0.7567, kb_relative_information_score: 258.5488, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9159, predictive_accuracy: 0.9175, prior_entropy: 0.7716, recall: 0.9175, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5759, scimark_benchmark: 912.5006, usercpu_time_millis: 1120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9025, kappa: 0.7141, kb_relative_information_score: 227.7027, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9023, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.6109, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8819, kappa: 0.6483, kb_relative_information_score: 252.1571, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8836, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8032, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8948, kappa: 0.686, kb_relative_information_score: 204.2521, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6596, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9139, kappa: 0.7443, kb_relative_information_score: 229.1414, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9166, predictive_accuracy: 0.9175, prior_entropy: 0.7716, recall: 0.9175, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.251, root_relative_squared_error: 0.6011, scimark_benchmark: 918.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8951, kappa: 0.6928, kb_relative_information_score: 226.0034, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8945, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6387, scimark_benchmark: 924.932, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9108, kappa: 0.7399, kb_relative_information_score: 236.3419, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6057, scimark_benchmark: 1361.1055, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8797, kappa: 0.6478, kb_relative_information_score: 246.8561, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8787, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7707, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8785, kappa: 0.6476, kb_relative_information_score: 214.6692, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8775, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.7383, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8863, kappa: 0.6709, kb_relative_information_score: 228.376, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8856, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.7369, scimark_benchmark: 1290.1085, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.915, kappa: 0.7563, kb_relative_information_score: 287.9891, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.915, predictive_accuracy: 0.915, prior_entropy: 0.7716, recall: 0.915, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6982, scimark_benchmark: 1294.7826, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.6026, kappa: -0.018, kb_relative_information_score: -155.0248, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6444, predictive_accuracy: 0.575, prior_entropy: 0.7716, recall: 0.575, relative_absolute_error: 1.216, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.5612, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9027, kappa: 0.7215, kb_relative_information_score: 256.3079, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9029, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6764, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9034, kappa: 0.7133, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9055, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7938, kappa: 0.4207, kb_relative_information_score: 125.1163, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7987, predictive_accuracy: 0.79, prior_entropy: 0.7716, recall: 0.79, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0974, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8648, kappa: 0.6192, kb_relative_information_score: 219.5825, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8681, predictive_accuracy: 0.8625, prior_entropy: 0.7716, recall: 0.8625, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.888, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -0.274, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8825, kappa: 0.6513, kb_relative_information_score: 254.0271, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8834, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7722, scimark_benchmark: 927.0753, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8871, kappa: 0.6689, kb_relative_information_score: 258.8123, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8865, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.7553, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8955, kappa: 0.6953, kb_relative_information_score: 255.8472, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8948, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6736, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8899, kappa: 0.6778, kb_relative_information_score: 257.9182, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8892, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6991, scimark_benchmark: 940.2922, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8763, kappa: 0.6358, kb_relative_information_score: 241.2293, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8755, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7282, scimark_benchmark: 936.7115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.874, kappa: 0.6298, kb_relative_information_score: 227.3556, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.873, predictive_accuracy: 0.8775, prior_entropy: 0.7716, recall: 0.8775, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.7675, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, build_cpu_time: 0.032, build_memory: 1124059532.8, f_measure: 0.9034, kappa: 0.7187, kb_relative_information_score: 233.7164, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9028, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.6108, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, build_cpu_time: 0.0354, build_memory: 2557863825.6, f_measure: 0.9034, kappa: 0.7187, kb_relative_information_score: 233.7164, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9028, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.6108, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.0215, build_memory: 313714612.8, f_measure: 0.8922, kappa: 0.684, kb_relative_information_score: 252.6778, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8917, predictive_accuracy: 0.895, prior_entropy: 0.7716, recall: 0.895, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.6248, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, build_cpu_time: 0.0212, build_memory: 1367544401.6, f_measure: 0.8899, kappa: 0.6778, kb_relative_information_score: 250.1685, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8892, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.6257, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.0072, build_memory: 1967048308.8, f_measure: 0.9081, kappa: 0.7313, kb_relative_information_score: 242.0697, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9077, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.6261, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 0.004, build_memory: 444415068, f_measure: 0.896, kappa: 0.6978, kb_relative_information_score: 213.1397, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8952, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6598, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 0.0067, build_memory: 598467011.2, f_measure: 0.8866, kappa: 0.6662, kb_relative_information_score: 243.9189, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8862, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.29, root_relative_squared_error: 0.6945, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 0.0074, build_memory: 603046160.8, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 0.0082, build_memory: 590873978.4, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 0.009, build_memory: 1232777120, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 0.0106, build_memory: 3053401816, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 1.4144, build_memory: 924969708.8, f_measure: 0.9031, kappa: 0.7237, kb_relative_information_score: 249.6651, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9038, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6939, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 2.8077, build_memory: 37183145.6, f_measure: 0.8977, kappa: 0.7072, kb_relative_information_score: 269.8417, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.6675, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 5.4903, build_memory: 45973601.6, f_measure: 0.9107, kappa: 0.7459, kb_relative_information_score: 279.5285, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9116, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.686, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 21.9519, build_memory: 593100186.4, f_measure: 0.9203, kappa: 0.7724, kb_relative_information_score: 293.4254, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9207, predictive_accuracy: 0.92, prior_entropy: 0.7716, recall: 0.92, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.6635, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, build_cpu_time: 36.5085, build_memory: 86039060.8, f_measure: 0.9247, kappa: 0.7832, kb_relative_information_score: 301.3625, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9245, predictive_accuracy: 0.925, prior_entropy: 0.7716, recall: 0.925, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.6524, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 17.4582, build_memory: 77363340, f_measure: 0.9223, kappa: 0.7769, kb_relative_information_score: 298.3346, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9222, predictive_accuracy: 0.9225, prior_entropy: 0.7716, recall: 0.9225, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6609, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, build_cpu_time: 9.5138, build_memory: 128158060, f_measure: 0.922, kappa: 0.7751, kb_relative_information_score: 299.6869, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9217, predictive_accuracy: 0.9225, prior_entropy: 0.7716, recall: 0.9225, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.6523, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 4.5948, build_memory: 58994255.2, f_measure: 0.9139, kappa: 0.7504, kb_relative_information_score: 286.7384, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9134, predictive_accuracy: 0.915, prior_entropy: 0.7716, recall: 0.915, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6853, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, build_cpu_time: 2.0225, build_memory: 565313142.4, f_measure: 0.9046, kappa: 0.7254, kb_relative_information_score: 274.3873, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9043, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.7038, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, build_cpu_time: 0.6794, build_memory: 449766178.4, f_measure: 0.919, kappa: 0.7651, kb_relative_information_score: 283.5496, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9186, predictive_accuracy: 0.92, prior_entropy: 0.7716, recall: 0.92, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.6506, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 1.1187, build_memory: 1593737889.6, f_measure: 0.91, kappa: 0.7419, kb_relative_information_score: 284.8516, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6684, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 2.2083, build_memory: 634399783.2, f_measure: 0.9227, kappa: 0.7787, kb_relative_information_score: 297.38, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9228, predictive_accuracy: 0.9225, prior_entropy: 0.7716, recall: 0.9225, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.6435, scimark_benchmark: 902.712,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs