Task
Supervised Data Stream Classification on BNG(heart-c,nominal,1000000)

Supervised Data Stream Classification on BNG(heart-c,nominal,1000000)

Task 176 Supervised Data Stream Classification BNG(heart-c,nominal,1000000) 46 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

46 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8655, kappa: 0.7326, kb_relative_information_score: 835615.5249, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8649, predictive_accuracy: 0.8663, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8663, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.493, run_cpu_time: 18.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8789, kappa: 0.7601, kb_relative_information_score: 841006.5988, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8781, predictive_accuracy: 0.8803, prior_entropy: 2.3219, ram_hours: 0.0025, recall: 0.8803, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4674, run_cpu_time: 204.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8729, kappa: 0.7473, kb_relative_information_score: 835922.9072, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8738, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8738, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4809, run_cpu_time: 18.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8485, kappa: 0.7, kb_relative_information_score: 801714.332, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 2.3219, ram_hours: 0, recall: 0.852, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.5181, run_cpu_time: 294.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8266, kappa: 0.6562, kb_relative_information_score: 805267.4713, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8247, predictive_accuracy: 0.829, prior_entropy: 2.3219, ram_hours: 0, recall: 0.829, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.6539, run_cpu_time: 7.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8493, kappa: 0.7015, kb_relative_information_score: 801743.2312, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.852, predictive_accuracy: 0.8527, prior_entropy: 2.3219, ram_hours: 0.0007, recall: 0.8527, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.518, run_cpu_time: 4663.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3796, kb_relative_information_score: 477144.7374, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2925, predictive_accuracy: 0.5408, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5408, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0714, run_cpu_time: 7.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8166, kappa: 0.6356, kb_relative_information_score: 765298.9309, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8159, predictive_accuracy: 0.8187, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8187, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5681, run_cpu_time: 15.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3796, kb_relative_information_score: 476665.099, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2925, predictive_accuracy: 0.5408, prior_entropy: 2.3219, ram_hours: 0.0019, recall: 0.5408, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0714, run_cpu_time: 76.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.817, kappa: 0.6365, kb_relative_information_score: 763598.558, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8162, predictive_accuracy: 0.8198, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8198, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5928, run_cpu_time: 9.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8743, kappa: 0.7504, kb_relative_information_score: 746616.5124, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8737, predictive_accuracy: 0.8754, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8754, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.5455, run_cpu_time: 86.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8743, kappa: 0.7504, kb_relative_information_score: 835893.0452, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8736, predictive_accuracy: 0.8754, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8754, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4762, run_cpu_time: 65.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.754, kappa: 0.5103, kb_relative_information_score: 721675.7196, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.752, predictive_accuracy: 0.756, prior_entropy: 2.3219, ram_hours: 0, recall: 0.756, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.781, run_cpu_time: 8.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8735, kappa: 0.7486, kb_relative_information_score: 836239.2237, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8728, predictive_accuracy: 0.8744, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8744, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4802, run_cpu_time: 35.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3796, kb_relative_information_score: 477144.7374, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2925, predictive_accuracy: 0.5408, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5408, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0714, run_cpu_time: 7.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8743, kappa: 0.7505, kb_relative_information_score: 835842.8683, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8736, predictive_accuracy: 0.8754, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8754, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4759, run_cpu_time: 128.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3797, kappa: -0, kb_relative_information_score: 565020.8067, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4989, predictive_accuracy: 0.5408, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5408, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.7915, run_cpu_time: 18.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8415, kappa: 0.6855, kb_relative_information_score: 755880.161, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8406, predictive_accuracy: 0.843, prior_entropy: 2.3219, ram_hours: 0.1831, recall: 0.843, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.5507, run_cpu_time: 3926.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8622, kappa: 0.7272, kb_relative_information_score: 404492.4018, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8613, predictive_accuracy: 0.8642, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8642, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8134, run_cpu_time: 12.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8623, kappa: 0.7255, kb_relative_information_score: 830341.2284, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.862, predictive_accuracy: 0.8627, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8627, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.5001, run_cpu_time: 20.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8729, kappa: 0.7473, kb_relative_information_score: 835922.9072, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8738, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8738, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4809, run_cpu_time: 20.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5, kappa: 0.0023, kb_relative_information_score: 430625.319, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1181, run_cpu_time: 6.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8158, kappa: 0.6345, kb_relative_information_score: 792831.17, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8138, predictive_accuracy: 0.8181, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8181, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.6744, run_cpu_time: 6.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.757, kappa: 0.5158, kb_relative_information_score: 713208.92, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7557, predictive_accuracy: 0.7598, prior_entropy: 2.3219, ram_hours: 0, recall: 0.7598, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.252, root_relative_squared_error: 0.6301, run_cpu_time: 45.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8206, kappa: 0.6436, kb_relative_information_score: 762266.3105, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.821, predictive_accuracy: 0.8235, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8235, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.6047, run_cpu_time: 9.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8206, kappa: 0.6436, kb_relative_information_score: 762266.3105, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.821, predictive_accuracy: 0.8235, prior_entropy: 2.3219, recall: 0.8235, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3796, kb_relative_information_score: 477144.7374, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2925, predictive_accuracy: 0.5408, prior_entropy: 2.3219, recall: 0.5408, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8729, kappa: 0.7473, kb_relative_information_score: 835922.27, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8738, prior_entropy: 2.3219, recall: 0.8738, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7539, kappa: 0.5101, kb_relative_information_score: 651904.2894, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7519, predictive_accuracy: 0.7559, prior_entropy: 2.3219, recall: 0.7559, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8074, kappa: 0.6171, kb_relative_information_score: 779106.5521, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8073, predictive_accuracy: 0.8098, prior_entropy: 2.3219, recall: 0.8098, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8303, kappa: 0.6635, kb_relative_information_score: 752427.7988, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8288, predictive_accuracy: 0.8318, prior_entropy: 2.3219, recall: 0.8318, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8219, kappa: 0.6468, kb_relative_information_score: 801896.1528, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.821, predictive_accuracy: 0.8242, prior_entropy: 2.3219, recall: 0.8242, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8573, kappa: 0.7178, kb_relative_information_score: 805838.5777, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8571, predictive_accuracy: 0.8596, prior_entropy: 2.3219, recall: 0.8596, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7522, kappa: 0.507, kb_relative_information_score: 725350.6855, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7504, predictive_accuracy: 0.7541, prior_entropy: 2.3219, recall: 0.7541, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7539, kappa: 0.5099, kb_relative_information_score: 664355.8836, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7519, predictive_accuracy: 0.756, prior_entropy: 2.3219, recall: 0.756, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8643, kappa: 0.7322, kb_relative_information_score: 815486.3919, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.863, predictive_accuracy: 0.8666, prior_entropy: 2.3219, recall: 0.8666, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.778, kappa: 0.5583, kb_relative_information_score: 751145.5978, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.776, predictive_accuracy: 0.7802, prior_entropy: 2.3219, recall: 0.7802, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.27, root_relative_squared_error: 0.6749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8266, kappa: 0.6562, kb_relative_information_score: 805302.2265, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8247, predictive_accuracy: 0.829, prior_entropy: 2.3219, recall: 0.829, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3796, kb_relative_information_score: 477144.7374, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2925, predictive_accuracy: 0.5408, prior_entropy: 2.3219, recall: 0.5408, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.87, kappa: 0.7432, kb_relative_information_score: 832907.5214, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8694, predictive_accuracy: 0.8721, prior_entropy: 2.3219, recall: 0.8721, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8655, kappa: 0.7326, kb_relative_information_score: 835629.9698, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 2.3219, recall: 0.8664, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8659, kappa: 0.7349, kb_relative_information_score: 809552.0689, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8656, predictive_accuracy: 0.8682, prior_entropy: 2.3219, recall: 0.8682, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8649, kappa: 0.7329, kb_relative_information_score: 485551.1809, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8636, predictive_accuracy: 0.867, prior_entropy: 2.3219, recall: 0.867, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8654, kappa: 0.7341, kb_relative_information_score: 485842.6294, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8634, predictive_accuracy: 0.8677, prior_entropy: 2.3219, recall: 0.8677, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8245, kappa: 0.652, kb_relative_information_score: 760198.4862, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8225, predictive_accuracy: 0.8268, prior_entropy: 2.3219, recall: 0.8268, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8744, kappa: 0.7506, kb_relative_information_score: 835912.7726, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8737, predictive_accuracy: 0.8755, prior_entropy: 2.3219, recall: 0.8755, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4758,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (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

    OpenML bootcamp

    From your own software

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

    OpenML APIs