OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19118 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 7.3837, build_memory: 1242942672, f_measure: 0.8344, kappa: 0.8156, kb_relative_information_score: 1673.3831, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8358, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.5619, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 18.7593, build_memory: 702357774.4, f_measure: 0.8266, kappa: 0.8061, kb_relative_information_score: 1666.5249, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5738, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, build_cpu_time: 33.9605, build_memory: 1536287752, f_measure: 0.8216, kappa: 0.8, kb_relative_information_score: 1650.8239, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8242, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.589, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 1.9081, build_memory: 761108386.4, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 1509.9659, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5494, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.0503, build_memory: 2412971719.2, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.0501, build_memory: 819699383.2, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 19.6482, build_memory: 129797897.6, f_measure: 0.8286, kappa: 0.8089, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5714, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 50.8326, build_memory: 898220005.6, f_measure: 0.8185, kappa: 0.7961, kb_relative_information_score: 1641.5968, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8216, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5978, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1988.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7402, kappa: 0.7133, kb_relative_information_score: 1478.6921, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.739, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7324, scimark_benchmark: 2013.0736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7998, kappa: 0.78, kb_relative_information_score: 1494.3544, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8006, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834, scimark_benchmark: 2022.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 946.2401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 946.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7989, kappa: 0.7772, kb_relative_information_score: 1662.844, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8057, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5436, scimark_benchmark: 946.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7117, kappa: 0.6789, kb_relative_information_score: 1385.2421, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.729, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6975, scimark_benchmark: 1993.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 1.7596, build_memory: 187621430.4, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, build_cpu_time: 0.1718, build_memory: 802591772, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 37.286, build_memory: 2408893063.2, f_measure: 0.8291, kappa: 0.8083, kb_relative_information_score: 1649.4925, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8316, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5949, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, build_cpu_time: 0.117, build_memory: 685501470.4, f_measure: 0.3564, kappa: 0.3172, kb_relative_information_score: 714.764, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3446, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1686, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, build_cpu_time: 0.0702, build_memory: 43944785.6, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, build_cpu_time: 0.067, build_memory: 127312976.8, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 2.1596, build_memory: 413302200, f_measure: 0.7781, kappa: 0.7539, kb_relative_information_score: 558.6718, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7834, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9178, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, build_cpu_time: 31.2852, build_memory: 346338103.2, f_measure: 0.7402, kappa: 0.7133, kb_relative_information_score: 1478.6992, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.739, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7324, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 0.8435, build_memory: 281557217.6, f_measure: 0.8399, kappa: 0.8228, kb_relative_information_score: 576.937, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, build_cpu_time: 0.001, build_memory: 537027017.6, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, build_cpu_time: 3.1203, build_memory: 67814072, f_measure: 0.7117, kappa: 0.6789, kb_relative_information_score: 1385.2421, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.729, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6975, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.0446, build_memory: 493328591.2, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 20.0335, build_memory: 1178210011.2, f_measure: 0.8084, kappa: 0.7861, kb_relative_information_score: 1624.524, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.6054, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 918.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8001, kappa: 0.7767, kb_relative_information_score: 1637.4808, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8034, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8286, kappa: 0.8089, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5714, scimark_benchmark: 935.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 883.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8196, kappa: 0.7972, kb_relative_information_score: 1632.6494, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6044, scimark_benchmark: 949.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8266, kappa: 0.8061, kb_relative_information_score: 1666.5249, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8167, kappa: 0.7967, kb_relative_information_score: 1557.4053, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8177, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5346, scimark_benchmark: 908.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.6493, kappa: 0.6117, kb_relative_information_score: 1271.1299, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.6505, prior_entropy: 3.3219, recall: 0.6505, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8788, scimark_benchmark: 945.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7844, kappa: 0.7611, kb_relative_information_score: 1605.4702, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7882, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 925.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8296, kappa: 0.8106, kb_relative_information_score: 1681.2226, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5215, scimark_benchmark: 937.5701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8392, kappa: 0.8189, kb_relative_information_score: 1671.6278, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8426, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812, scimark_benchmark: 934.045,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.0021, build_memory: 65104284.8, f_measure: 0.5987, kappa: 0.6006, kb_relative_information_score: 1248.1004, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7049, predictive_accuracy: 0.6405, prior_entropy: 3.3219, recall: 0.6405, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8938, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.002, build_memory: 58563344, f_measure: 0.5987, kappa: 0.6006, kb_relative_information_score: 1248.1004, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7049, predictive_accuracy: 0.6405, prior_entropy: 3.3219, recall: 0.6405, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8938, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8214, kappa: 0.8044, kb_relative_information_score: 1495.5566, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5555, scimark_benchmark: 1345.3152, usercpu_time_millis: 13570, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 13210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8184, kappa: 0.7989, kb_relative_information_score: 1637.3765, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8182, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6085, scimark_benchmark: 854.6529, usercpu_time_millis: 4500, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8152, kappa: 0.7944, kb_relative_information_score: 1651.8944, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5632, scimark_benchmark: 1327.2954, usercpu_time_millis: 31990, usercpu_time_millis_training: 31990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.6097, kappa: 0.5656, kb_relative_information_score: 1182.2176, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6107, predictive_accuracy: 0.609, prior_entropy: 3.3219, recall: 0.609, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9321, scimark_benchmark: 1339.9935, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1322.7257, usercpu_time_millis: 1800, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1278.6629, usercpu_time_millis: 200720, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 198910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1322.7257, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1307.4861, usercpu_time_millis: 1870, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7649, kappa: 0.74, kb_relative_information_score: 1530.0499, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7646, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 1310.3951, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1442.7264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 932.0242, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7505, kappa: 0.7244, kb_relative_information_score: 1492.6049, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6389, scimark_benchmark: 1280.6952, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.0301, kappa: 0.0067, kb_relative_information_score: 130.1856, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5101, predictive_accuracy: 0.106, prior_entropy: 3.3219, recall: 0.106, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4095, scimark_benchmark: 1384.4418, usercpu_time_millis: 3560, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3564, kappa: 0.3172, kb_relative_information_score: 714.764, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3446, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1686, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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