Task
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 1821 Supervised Classification ionosphere 357 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

357 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.0598, build_memory: 1336759712.5972, f_measure: 0.9176, kappa: 0.8195, kb_relative_information_score: 1198.5343, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 0.9425, recall: 0.9185, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5497, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, build_cpu_time: 0.0118, build_memory: 738780716.2302, f_measure: 0.9163, kappa: 0.8172, kb_relative_information_score: 1227.7842, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9165, predictive_accuracy: 0.9168, prior_entropy: 0.9425, recall: 0.9168, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5364, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, build_cpu_time: 0.0116, build_memory: 259555785.0986, f_measure: 0.9163, kappa: 0.8172, kb_relative_information_score: 1227.7842, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9165, predictive_accuracy: 0.9168, prior_entropy: 0.9425, recall: 0.9168, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5364, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 0.0235, build_memory: 748861156.2302, f_measure: 0.9282, kappa: 0.843, kb_relative_information_score: 1238.8699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5187, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, build_cpu_time: 0.049, build_memory: 1854922893.7436, f_measure: 0.9349, kappa: 0.8574, kb_relative_information_score: 1254.3572, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9363, predictive_accuracy: 0.9356, prior_entropy: 0.9425, recall: 0.9356, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5027, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 0.153, build_memory: 1100517658.2929, f_measure: 0.9349, kappa: 0.8573, kb_relative_information_score: 1255.4525, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9364, predictive_accuracy: 0.9356, prior_entropy: 0.9425, recall: 0.9356, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4948, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 0.1492, build_memory: 2562306886.7829, f_measure: 0.9349, kappa: 0.8573, kb_relative_information_score: 1255.4525, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9364, predictive_accuracy: 0.9356, prior_entropy: 0.9425, recall: 0.9356, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4948, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 8.2235, build_memory: 487375992.2462, f_measure: 0.9366, kappa: 0.8609, kb_relative_information_score: 1213.2646, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9383, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5068, scimark_benchmark: 903.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 7.3981, build_memory: 1238935674.7624, f_measure: 0.9366, kappa: 0.8609, kb_relative_information_score: 1213.2646, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9383, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5068, scimark_benchmark: 933.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 3.7269, build_memory: 334718771.3413, f_measure: 0.9371, kappa: 0.862, kb_relative_information_score: 1213.6821, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.939, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5065, scimark_benchmark: 944.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 3.7451, build_memory: 271380567.143, f_measure: 0.9371, kappa: 0.862, kb_relative_information_score: 1213.6821, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.939, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5065, scimark_benchmark: 929.5965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 1.9721, build_memory: 998296024.465, f_measure: 0.9378, kappa: 0.8635, kb_relative_information_score: 1215.1763, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 0.9425, recall: 0.9385, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5065, scimark_benchmark: 904.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 1.8217, build_memory: 404210749.3197, f_measure: 0.9378, kappa: 0.8635, kb_relative_information_score: 1215.1763, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 0.9425, recall: 0.9385, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5065, scimark_benchmark: 914.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 0.5065, build_memory: 1481441336.5014, f_measure: 0.9378, kappa: 0.8637, kb_relative_information_score: 1211.0722, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 0.9425, recall: 0.9385, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5092, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, build_cpu_time: 0.0117, build_memory: 844361969.0895, f_measure: 0.8454, kappa: 0.6616, kb_relative_information_score: 1001.0355, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8453, predictive_accuracy: 0.8467, prior_entropy: 0.9425, recall: 0.8467, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6931, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 1.971, build_memory: 1746859962.0786, f_measure: 0.9435, kappa: 0.8762, kb_relative_information_score: 1289.8865, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9451, predictive_accuracy: 0.9442, prior_entropy: 0.9425, recall: 0.9442, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4691, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, build_cpu_time: 0.8923, build_memory: 900711893.9487, f_measure: 0.9436, kappa: 0.8763, kb_relative_information_score: 1293.1939, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.945, predictive_accuracy: 0.9442, prior_entropy: 0.9425, recall: 0.9442, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4679, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 0.0466, build_memory: 420340086.3681, f_measure: 0.8604, kappa: 0.6918, kb_relative_information_score: 1023.2219, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8669, predictive_accuracy: 0.8644, prior_entropy: 0.9425, recall: 0.8644, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6679, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 0.0465, build_memory: 550711042.6667, f_measure: 0.8604, kappa: 0.6918, kb_relative_information_score: 1023.2219, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8669, predictive_accuracy: 0.8644, prior_entropy: 0.9425, recall: 0.8644, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6679, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 0.0629, build_memory: 1325099746.1561, f_measure: 0.8604, kappa: 0.6918, kb_relative_information_score: 1023.2219, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8669, predictive_accuracy: 0.8644, prior_entropy: 0.9425, recall: 0.8644, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6679, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 0.045, build_memory: 1426356730.9675, f_measure: 0.8604, kappa: 0.6918, kb_relative_information_score: 1023.2219, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8669, predictive_accuracy: 0.8644, prior_entropy: 0.9425, recall: 0.8644, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6679, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.1525, build_memory: 221786044.139, f_measure: 0.8628, kappa: 0.697, kb_relative_information_score: 1016.8112, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.9425, recall: 0.8667, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6621, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.1522, build_memory: 1123880709.0917, f_measure: 0.8628, kappa: 0.697, kb_relative_information_score: 1016.8112, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.9425, recall: 0.8667, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6621, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.1345, build_memory: 120572403.1499, f_measure: 0.8628, kappa: 0.697, kb_relative_information_score: 1016.8112, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.9425, recall: 0.8667, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6621, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.0959, build_memory: 805568445.7299, f_measure: 0.8628, kappa: 0.697, kb_relative_information_score: 1016.8112, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.9425, recall: 0.8667, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6621, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 0.1334, build_memory: 375832435.551, f_measure: 0.9271, kappa: 0.8406, kb_relative_information_score: 1262.8295, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 0.9425, recall: 0.9276, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5076, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 0.1223, build_memory: 219971177.8142, f_measure: 0.9271, kappa: 0.8406, kb_relative_information_score: 1262.8295, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 0.9425, recall: 0.9276, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5076, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 0.1485, build_memory: 622896198.6097, f_measure: 0.8308, kappa: 0.643, kb_relative_information_score: 1071.0075, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8436, predictive_accuracy: 0.8279, prior_entropy: 0.9425, recall: 0.8279, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7642, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 0.148, build_memory: 222417883.0906, f_measure: 0.8308, kappa: 0.643, kb_relative_information_score: 1071.0075, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8436, predictive_accuracy: 0.8279, prior_entropy: 0.9425, recall: 0.8279, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7642, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, build_cpu_time: 0.1813, build_memory: 131285150.596, f_measure: 0.8359, kappa: 0.6385, kb_relative_information_score: 1120.8651, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8383, predictive_accuracy: 0.8393, prior_entropy: 0.9425, recall: 0.8393, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8317, scimark_benchmark: 945.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, build_cpu_time: 0.1944, build_memory: 56173194.5755, f_measure: 0.8359, kappa: 0.6385, kb_relative_information_score: 1120.8651, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8383, predictive_accuracy: 0.8393, prior_entropy: 0.9425, recall: 0.8393, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8317, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, build_cpu_time: 0.0121, build_memory: 120723786.2838, f_measure: 0.833, kappa: 0.6473, kb_relative_information_score: 1065.1789, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8451, predictive_accuracy: 0.8302, prior_entropy: 0.9425, recall: 0.8302, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.8154, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, build_cpu_time: 204.179, build_memory: 416812451.8427, f_measure: 0.8599, kappa: 0.6895, kb_relative_information_score: 1170.7602, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8791, predictive_accuracy: 0.8667, prior_entropy: 0.9425, recall: 0.8667, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6518, scimark_benchmark: 895.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, build_cpu_time: 278.7141, build_memory: 1062573833.0074, f_measure: 0.8589, kappa: 0.6873, kb_relative_information_score: 1171.4347, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.877, predictive_accuracy: 0.8655, prior_entropy: 0.9425, recall: 0.8655, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6502, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, build_cpu_time: 0.0238, build_memory: 2381513516.6997, f_measure: 0.8321, kappa: 0.6276, kb_relative_information_score: 924.8237, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8612, predictive_accuracy: 0.8427, prior_entropy: 0.9425, recall: 0.8427, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7067, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, build_cpu_time: 0.0109, build_memory: 3467532130.3613, f_measure: 0.8315, kappa: 0.6264, kb_relative_information_score: 924.369, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8603, predictive_accuracy: 0.8422, prior_entropy: 0.9425, recall: 0.8422, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.707, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, build_cpu_time: 0.0067, build_memory: 287251746.9219, f_measure: 0.8333, kappa: 0.6303, kb_relative_information_score: 926.6454, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8626, predictive_accuracy: 0.8439, prior_entropy: 0.9425, recall: 0.8439, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7054, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, build_cpu_time: 0.6109, build_memory: 3063847998.6917, f_measure: 0.8633, kappa: 0.6978, kb_relative_information_score: 1234.0904, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8723, predictive_accuracy: 0.8678, prior_entropy: 0.9425, recall: 0.8678, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7465, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, build_cpu_time: 0.0065, build_memory: 398154308.3897, f_measure: 0.8319, kappa: 0.6273, kb_relative_information_score: 928.6298, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8617, predictive_accuracy: 0.8427, prior_entropy: 0.9425, recall: 0.8427, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7049, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, build_cpu_time: 0.0018, build_memory: 2666427585.5727, f_measure: 0.8306, kappa: 0.6243, kb_relative_information_score: 923.8532, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8609, predictive_accuracy: 0.8416, prior_entropy: 0.9425, recall: 0.8416, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7146, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, build_cpu_time: 2.1635, build_memory: 1772723045.6889, f_measure: 0.9063, kappa: 0.7932, kb_relative_information_score: 1265.9706, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9138, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5546, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, build_cpu_time: 2.0666, build_memory: 491011187.6011, f_measure: 0.9063, kappa: 0.7932, kb_relative_information_score: 1265.9706, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9138, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5546, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 3.7552, build_memory: 76801206.8513, f_measure: 0.9017, kappa: 0.7831, kb_relative_information_score: 1261.1626, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9087, predictive_accuracy: 0.9043, prior_entropy: 0.9425, recall: 0.9043, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5523, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, build_cpu_time: 7.2975, build_memory: 3550678396.7316, f_measure: 0.9047, kappa: 0.7897, kb_relative_information_score: 1269.364, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9114, predictive_accuracy: 0.9071, prior_entropy: 0.9425, recall: 0.9071, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5428, scimark_benchmark: 944.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 16.5154, build_memory: 105513716.3168, f_measure: 0.9011, kappa: 0.7817, kb_relative_information_score: 1265.224, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9082, predictive_accuracy: 0.9037, prior_entropy: 0.9425, recall: 0.9037, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5428, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 30.9138, build_memory: 1004965084.3396, f_measure: 0.9047, kappa: 0.7897, kb_relative_information_score: 1270.3655, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9114, predictive_accuracy: 0.9071, prior_entropy: 0.9425, recall: 0.9071, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5392, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, build_cpu_time: 4.6284, build_memory: 417973482.1288, f_measure: 0.926, kappa: 0.8373, kb_relative_information_score: 1453.4472, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9286, predictive_accuracy: 0.9271, prior_entropy: 0.9425, recall: 0.9271, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5573, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, build_cpu_time: 1.8604, build_memory: 1300964202.0513, f_measure: 0.9277, kappa: 0.8412, kb_relative_information_score: 1460.0003, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9303, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5503, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 0.8851, build_memory: 234588031.4484, f_measure: 0.9248, kappa: 0.8349, kb_relative_information_score: 1448.3324, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9273, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5611, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, build_cpu_time: 0.5271, build_memory: 1474528565.2194, f_measure: 0.9174, kappa: 0.8186, kb_relative_information_score: 1419.3301, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9194, predictive_accuracy: 0.9185, prior_entropy: 0.9425, recall: 0.9185, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5831, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, build_cpu_time: 0.9391, build_memory: 91149412.2074, f_measure: 0.917, kappa: 0.8182, kb_relative_information_score: 1256.5165, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9182, predictive_accuracy: 0.9179, prior_entropy: 0.9425, recall: 0.9179, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5297, scimark_benchmark: 944.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, build_cpu_time: 1.6749, build_memory: 323564039.804, f_measure: 0.917, kappa: 0.8182, kb_relative_information_score: 1256.5985, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9182, predictive_accuracy: 0.9179, prior_entropy: 0.9425, recall: 0.9179, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5299, scimark_benchmark: 942.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, build_cpu_time: 0.6631, build_memory: 905763303.0655, f_measure: 0.925, kappa: 0.8348, kb_relative_information_score: 1289.5921, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9297, predictive_accuracy: 0.9265, prior_entropy: 0.9425, recall: 0.9265, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5186, scimark_benchmark: 942.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 0.3946, build_memory: 594078442.9994, f_measure: 0.9239, kappa: 0.8326, kb_relative_information_score: 1287.7639, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.928, predictive_accuracy: 0.9254, prior_entropy: 0.9425, recall: 0.9254, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5229, scimark_benchmark: 939.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, build_cpu_time: 0.1894, build_memory: 1104898763.51, f_measure: 0.9255, kappa: 0.8359, kb_relative_information_score: 1290.2094, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9307, predictive_accuracy: 0.9271, prior_entropy: 0.9425, recall: 0.9271, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5226, scimark_benchmark: 943.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.0777, build_memory: 310060641.4268, f_measure: 0.9244, kappa: 0.8336, kb_relative_information_score: 1290.595, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.929, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5228, scimark_benchmark: 906.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8683, kappa: 0.7082, kb_relative_information_score: 1254.8349, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.882, predictive_accuracy: 0.8735, prior_entropy: 0.9425, recall: 0.8735, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7414, scimark_benchmark: 1058.0736,

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

OpenML bootcamp

From your own software

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

OpenML APIs