OpenML
Supervised Classification on prnn_crabs

Supervised Classification on prnn_crabs

Task 3539 Supervised Classification prnn_crabs 546 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, build_cpu_time: 0.5246, build_memory: 409729525.6, f_measure: 0.96, kappa: 0.92, kb_relative_information_score: 177.3486, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9617, predictive_accuracy: 0.96, prior_entropy: 1, recall: 0.96, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3584, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 0.111, build_memory: 1157459274.4, f_measure: 0.935, kappa: 0.87, kb_relative_information_score: 137.5281, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.4994, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, build_cpu_time: 0.0831, build_memory: 189064703.2, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 138.534, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.4998, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, build_cpu_time: 0.0356, build_memory: 377410892.8, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 137.7709, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.511, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, build_cpu_time: 0.0168, build_memory: 1228543897.6, f_measure: 0.92, kappa: 0.84, kb_relative_information_score: 137.7644, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5143, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 0.0057, build_memory: 802932564, f_measure: 0.915, kappa: 0.83, kb_relative_information_score: 140.2811, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9154, predictive_accuracy: 0.915, prior_entropy: 1, recall: 0.915, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5312, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 0.0248, build_memory: 1651920121.6, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 145.9089, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4759, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 0.0235, build_memory: 665325462.4, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 145.9089, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4759, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.0487, build_memory: 407612594.4, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 146.6023, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4597, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, build_cpu_time: 4.5772, build_memory: 588006757.6, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 136.3568, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.247, root_relative_squared_error: 0.494, scimark_benchmark: 939.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, build_cpu_time: 2.4457, build_memory: 925024061.6, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 136.9257, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.4906, scimark_benchmark: 926.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, build_cpu_time: 1.2035, build_memory: 1954898058.4, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 137.2135, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4933, scimark_benchmark: 846.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 0.3243, build_memory: 1840697592.8, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 136.9331, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.4953, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.0065, build_memory: 115022074.4, f_measure: 0.6692, kappa: 0.34, kb_relative_information_score: 62.8072, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6717, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9481, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.0094, build_memory: 1219956664, f_measure: 0.6692, kappa: 0.34, kb_relative_information_score: 62.8072, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6717, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9481, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.0059, build_memory: 2175759060.8, f_measure: 0.6692, kappa: 0.34, kb_relative_information_score: 62.8072, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6717, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9481, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.0092, build_memory: 905215085.6, f_measure: 0.6692, kappa: 0.34, kb_relative_information_score: 62.8072, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6717, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9481, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, build_cpu_time: 0.0129, build_memory: 161179158.4, f_measure: 0.6937, kappa: 0.39, kb_relative_information_score: 63.7906, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6984, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9424, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, build_cpu_time: 0.0115, build_memory: 1084240379.2, f_measure: 0.6937, kappa: 0.39, kb_relative_information_score: 63.7906, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6984, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9424, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, build_cpu_time: 0.0134, build_memory: 843354778.4, f_measure: 0.6937, kappa: 0.39, kb_relative_information_score: 63.7906, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6984, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9424, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0489, build_memory: 418991207.2, f_measure: 1, kappa: 1, kb_relative_information_score: 189.379, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1463, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, build_cpu_time: 0.065, build_memory: 1334231264, f_measure: 0.615, kappa: 0.23, kb_relative_information_score: 50.0712, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.615, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.0591, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 16.6946, build_memory: 234054716.8, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 195.9122, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1182, scimark_benchmark: 876.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 27.001, build_memory: 246082442.4, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 195.9627, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1139, scimark_benchmark: 943.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.2546, build_memory: 553313316.8, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 196.8094, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1624, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, build_cpu_time: 0.0283, build_memory: 284652671.2, f_measure: 0.789, kappa: 0.58, kb_relative_information_score: 62.4414, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7958, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8306, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.2393, build_memory: 456417121.6, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 196.8094, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1624, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, build_cpu_time: 0.0113, build_memory: 163426792, f_measure: 0.7892, kappa: 0.58, kb_relative_information_score: 62.5786, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7942, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8315, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, build_cpu_time: 0.006, build_memory: 138681707.2, f_measure: 0.8093, kappa: 0.62, kb_relative_information_score: 63.5114, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8145, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8322, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 0.0059, build_memory: 108083896, f_measure: 0.7941, kappa: 0.59, kb_relative_information_score: 62.8627, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8001, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8339, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, build_cpu_time: 0.0028, build_memory: 1706437772, f_measure: 0.7792, kappa: 0.56, kb_relative_information_score: 63.8573, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7841, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8311, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.8829, build_memory: 3429381380, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 151.2641, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3676, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1.7214, build_memory: 983805103.2, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 158.8816, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3316, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 3.5739, build_memory: 69642964.8, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 161.1245, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3188, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 7.0729, build_memory: 116877665.6, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 162.1156, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3122, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 15.254, build_memory: 85602246.4, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 161.9584, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3101, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, build_cpu_time: 0.763, build_memory: 970957020, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 176, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4899, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 0.3738, build_memory: 1250030056, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 171.5981, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5303, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.2857, build_memory: 487201693.6, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 169.3958, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9254, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5498, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 0.1464, build_memory: 844917473.6, f_measure: 0.92, kappa: 0.84, kb_relative_information_score: 168.6571, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.277, root_relative_squared_error: 0.554, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.0487, build_memory: 706249417.6, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 174.9627, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4918, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 0.738, build_memory: 192759122.4, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 145.7106, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4654, scimark_benchmark: 857.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 0.1429, build_memory: 2640061007.2, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 151.4781, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4583, scimark_benchmark: 947.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 0.0937, build_memory: 1553451829.6, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 152.4533, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4514, scimark_benchmark: 941.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 0.0686, build_memory: 910588960, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 152.6491, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4572, scimark_benchmark: 927.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.0559, build_memory: 26801582.4, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 151.7084, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4614, scimark_benchmark: 903.1644,

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