OpenML
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, build_cpu_time: 4.9389, build_memory: 1693157978.9064, f_measure: 0.8337, kappa: 0.4691, kb_relative_information_score: 55.9748, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8313, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8741, scimark_benchmark: 910.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, build_cpu_time: 0.7199, build_memory: 968634108.4345, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 51.2369, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8847, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, build_cpu_time: 0.4629, build_memory: 795072276.4644, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 51.2369, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8847, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, build_cpu_time: 0.4452, build_memory: 2176582541.9026, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 51.2369, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8847, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0023, build_memory: 663646075.8652, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0037, build_memory: 775286674.6966, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.005, build_memory: 874674755.3258, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, build_cpu_time: 0.5085, build_memory: 598638295.97, f_measure: 0.8256, kappa: 0.4355, kb_relative_information_score: 58.8802, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8248, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.8731, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, build_cpu_time: 0.424, build_memory: 1029289360.4195, f_measure: 0.8256, kappa: 0.4355, kb_relative_information_score: 58.8802, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8248, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.8731, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, build_cpu_time: 0.0137, build_memory: 124337029.2135, f_measure: 0.7028, kb_relative_information_score: 71.4198, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.1217, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, build_cpu_time: 0.0144, build_memory: 102845473.7079, f_measure: 0.7028, kb_relative_information_score: 71.4198, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.1217, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, build_cpu_time: 0.1986, build_memory: 778421668.7041, f_measure: 0.8113, kappa: 0.3923, kb_relative_information_score: 56.1869, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8077, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.8824, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, build_cpu_time: 0.2038, build_memory: 203982002.9663, f_measure: 0.8113, kappa: 0.3923, kb_relative_information_score: 56.1869, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8077, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.8824, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, build_cpu_time: 0.0359, build_memory: 1152792483.8352, f_measure: 0.8175, kappa: 0.4933, kb_relative_information_score: 46.9473, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8453, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.0247, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, build_cpu_time: 0.0078, build_memory: 1122763710.382, f_measure: 0.7843, kappa: 0.3339, kb_relative_information_score: 61.4984, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7823, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0652, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, build_cpu_time: 0.0091, build_memory: 72848601.1685, f_measure: 0.7843, kappa: 0.3339, kb_relative_information_score: 61.4984, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7823, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0652, scimark_benchmark: 941.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, build_cpu_time: 0.0073, build_memory: 542426712.8989, f_measure: 0.7843, kappa: 0.3339, kb_relative_information_score: 61.4984, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7823, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0652, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, build_cpu_time: 0.0241, build_memory: 444303430.2022, f_measure: 0.8143, kappa: 0.4865, kb_relative_information_score: 46.9577, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8437, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.0239, scimark_benchmark: 943.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, build_cpu_time: 0.0035, build_memory: 90258763.8652, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 50.5915, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4161, root_relative_squared_error: 1.0288, scimark_benchmark: 931.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, build_cpu_time: 102.2912, build_memory: 996813326.7116, f_measure: 0.8133, kappa: 0.4108, kb_relative_information_score: 69.8822, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8093, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.891, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 158.3595, build_memory: 1102453391.5206, f_measure: 0.8102, kappa: 0.4028, kb_relative_information_score: 69.0801, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8062, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8893, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, build_cpu_time: 0.0404, build_memory: 2748759018.2172, f_measure: 0.7028, kb_relative_information_score: 16.0233, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9112, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, build_cpu_time: 0.012, build_memory: 676180394.6367, f_measure: 0.7028, kb_relative_information_score: 15.48, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9111, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, build_cpu_time: 1.1914, build_memory: 738846409.7378, f_measure: 0.8008, kappa: 0.3891, kb_relative_information_score: 81.5635, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8002, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.04, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, build_cpu_time: 0.0082, build_memory: 563880286.1723, f_measure: 0.7028, kb_relative_information_score: 12.9771, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9138, scimark_benchmark: 949.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, build_cpu_time: 0.0023, build_memory: 1343139786.7566, f_measure: 0.7028, kb_relative_information_score: 12.6425, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9182, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, build_cpu_time: 0.0019, build_memory: 158980151.3708, f_measure: 0.7028, kb_relative_information_score: 14.6321, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9223, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 1.5947, build_memory: 772030074.1573, f_measure: 0.8335, kappa: 0.4759, kb_relative_information_score: 60.4109, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8305, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8869, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 3.6177, build_memory: 744790199.4607, f_measure: 0.832, kappa: 0.4683, kb_relative_information_score: 57.1983, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.829, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8879, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, build_cpu_time: 7.5891, build_memory: 2055496521.3783, f_measure: 0.8227, kappa: 0.4354, kb_relative_information_score: 57.445, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8192, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.889, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, build_cpu_time: 14.5063, build_memory: 1174417380.0749, f_measure: 0.8133, kappa: 0.4108, kb_relative_information_score: 59.1586, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8093, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8833, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, build_cpu_time: 29.7244, build_memory: 77253524.4345, f_measure: 0.8164, kappa: 0.4188, kb_relative_information_score: 57.3704, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8125, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8847, scimark_benchmark: 945.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 0.3671, build_memory: 1351161698.9064, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 84.0057, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0627, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.3672, build_memory: 933277211.4457, f_measure: 0.8086, kappa: 0.3941, kb_relative_information_score: 87.1705, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8042, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446, scimark_benchmark: 909.9339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, build_cpu_time: 0.0922, build_memory: 2061148308.2846, f_measure: 0.8055, kappa: 0.3862, kb_relative_information_score: 85.4568, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8011, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4203, root_relative_squared_error: 1.0393, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, build_cpu_time: 0.0462, build_memory: 1735494160.0599, f_measure: 0.8148, kappa: 0.4191, kb_relative_information_score: 94.5117, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8113, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4128, root_relative_squared_error: 1.0206, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, build_cpu_time: 0.4417, build_memory: 613563312.7491, f_measure: 0.8305, kappa: 0.4528, kb_relative_information_score: 59.8344, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8296, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.349, root_relative_squared_error: 0.8629, scimark_benchmark: 887.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, build_cpu_time: 0.7013, build_memory: 976980457.4082, f_measure: 0.8206, kappa: 0.4178, kb_relative_information_score: 60.1337, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8591, scimark_benchmark: 946.0729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, build_cpu_time: 0.3401, build_memory: 754244901.0637, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 61.851, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8674, scimark_benchmark: 943.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, build_cpu_time: 0.2634, build_memory: 467143448.3895, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 61.851, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8674, scimark_benchmark: 946.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, build_cpu_time: 0.1243, build_memory: 601079225.0787, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 61.917, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.352, root_relative_squared_error: 0.8703, scimark_benchmark: 922.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.1159, build_memory: 2360255490.8764, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 60.1329, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.8724, scimark_benchmark: 939.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, build_cpu_time: 0.0306, build_memory: 2995385525.5131, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 57.3236, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.353, root_relative_squared_error: 0.8727, scimark_benchmark: 915.8235,

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