Task
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 1784 Supervised Classification mfeat-pixel 282 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 1.113, build_memory: 227610388, f_measure: 0.8234, kappa: 0.8039, kb_relative_information_score: 7797.7112, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8242, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344, scimark_benchmark: 923.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, build_cpu_time: 2.0351, build_memory: 161395476, f_measure: 0.8274, kappa: 0.8082, kb_relative_information_score: 7809.5827, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8274, prior_entropy: 3.3219, recall: 0.8274, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296, scimark_benchmark: 944.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 3.8511, build_memory: 238380284.8, f_measure: 0.8279, kappa: 0.8089, kb_relative_information_score: 7811.4982, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8295, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5276, scimark_benchmark: 927.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 7.512, build_memory: 1170060788, f_measure: 0.83, kappa: 0.8112, kb_relative_information_score: 7816.7664, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8315, predictive_accuracy: 0.8301, prior_entropy: 3.3219, recall: 0.8301, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261, scimark_benchmark: 941.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 127.9035, build_memory: 1454399460.8, f_measure: 0.9515, kappa: 0.9461, kb_relative_information_score: 8534.5972, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.3219, recall: 0.9515, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3789, scimark_benchmark: 946.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 7.6063, build_memory: 2644346995.2, f_measure: 0.9268, kappa: 0.9187, kb_relative_information_score: 8448.3364, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 3.3219, recall: 0.9268, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.4185, scimark_benchmark: 948.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 30797.6628, build_memory: 1223205786.4, f_measure: 0.9569, kappa: 0.9521, kb_relative_information_score: 9511.4255, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9573, predictive_accuracy: 0.9569, prior_entropy: 3.3219, recall: 0.9569, relative_absolute_error: 0.0726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2673, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 15110.6517, build_memory: 1055369972, f_measure: 0.9571, kappa: 0.9523, kb_relative_information_score: 9512.4102, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9574, predictive_accuracy: 0.9571, prior_entropy: 3.3219, recall: 0.9571, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.2677, scimark_benchmark: 937.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 6907.835, build_memory: 757856011.2, f_measure: 0.9559, kappa: 0.951, kb_relative_information_score: 9509.5883, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9563, predictive_accuracy: 0.9559, prior_entropy: 3.3219, recall: 0.9559, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.269, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 4097.141, build_memory: 678663597.6, f_measure: 0.9565, kappa: 0.9517, kb_relative_information_score: 9510.8543, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1368.8571, build_memory: 2059810344, f_measure: 0.9556, kappa: 0.9507, kb_relative_information_score: 9511.7649, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.956, predictive_accuracy: 0.9556, prior_entropy: 3.3219, recall: 0.9556, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2723, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.0027, build_memory: 649331622.4, f_measure: 0.8001, kappa: 0.7871, kb_relative_information_score: 4439.0267, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8292, predictive_accuracy: 0.8084, prior_entropy: 3.3219, recall: 0.8084, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.8278, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, build_cpu_time: 0.0076, build_memory: 28333209.6, f_measure: 0.8146, kappa: 0.8012, kb_relative_information_score: 4443.9137, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8211, prior_entropy: 3.3219, recall: 0.8211, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.8269, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, build_cpu_time: 0.0168, build_memory: 1956443150.4, f_measure: 0.8188, kappa: 0.8057, kb_relative_information_score: 4442.1548, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8436, predictive_accuracy: 0.8251, prior_entropy: 3.3219, recall: 0.8251, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.827, scimark_benchmark: 898.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, build_cpu_time: 0.0187, build_memory: 735066255.2, f_measure: 0.8239, kappa: 0.811, kb_relative_information_score: 4434.5388, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8484, predictive_accuracy: 0.8299, prior_entropy: 3.3219, recall: 0.8299, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.8272, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, build_cpu_time: 0.0985, build_memory: 243286298.4, f_measure: 0.8244, kappa: 0.8116, kb_relative_information_score: 4432.5101, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.849, predictive_accuracy: 0.8304, prior_entropy: 3.3219, recall: 0.8304, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.8275, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, build_cpu_time: 1.5806, build_memory: 1346387216, f_measure: 0.9319, kappa: 0.9242, kb_relative_information_score: 9338.5301, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9328, predictive_accuracy: 0.9318, prior_entropy: 3.3219, recall: 0.9318, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3504, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 132.7363, build_memory: 959363514.4, f_measure: 0.9583, kappa: 0.9537, kb_relative_information_score: 8787.1894, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9586, predictive_accuracy: 0.9583, prior_entropy: 3.3219, recall: 0.9583, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3535, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, build_cpu_time: 0.3678, build_memory: 1267716792.8, f_measure: 0.2684, kappa: 0.2528, kb_relative_information_score: 2794.4305, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3448, predictive_accuracy: 0.3275, prior_entropy: 3.3219, recall: 0.3275, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.9397, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, build_cpu_time: 0.3317, build_memory: 939928948.8, f_measure: 0.2684, kappa: 0.2528, kb_relative_information_score: 2794.4305, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3448, predictive_accuracy: 0.3275, prior_entropy: 3.3219, recall: 0.3275, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.9397, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, build_cpu_time: 0.2078, build_memory: 1602432736.8, f_measure: 0.2519, kappa: 0.2348, kb_relative_information_score: 2727.4211, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3202, predictive_accuracy: 0.3113, prior_entropy: 3.3219, recall: 0.3113, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.96, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, build_cpu_time: 0.0861, build_memory: 167857173.6, f_measure: 0.2581, kappa: 0.2266, kb_relative_information_score: 2703.6185, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.3039, prior_entropy: 3.3219, recall: 0.3039, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9686, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 3.4923, build_memory: 2063611404.8, f_measure: 0.9586, kappa: 0.9541, kb_relative_information_score: 7028.8362, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5626, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 15.6363, build_memory: 2327275111.2, f_measure: 0.9594, kappa: 0.955, kb_relative_information_score: 7037.134, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5614, scimark_benchmark: 914.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.3773, build_memory: 155502884.8, f_measure: 0.9489, kappa: 0.9433, kb_relative_information_score: 7243.8992, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 3.3219, recall: 0.949, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5412, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 2.9586, build_memory: 1012229725.6, f_measure: 0.8507, kappa: 0.8347, kb_relative_information_score: 7445.078, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8507, predictive_accuracy: 0.8512, prior_entropy: 3.3219, recall: 0.8512, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5464, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 5.7401, build_memory: 952755881.6, f_measure: 0.8532, kappa: 0.8374, kb_relative_information_score: 7449.3953, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8531, predictive_accuracy: 0.8537, prior_entropy: 3.3219, recall: 0.8537, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.544, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 11.3067, build_memory: 1785139168.8, f_measure: 0.8539, kappa: 0.8381, kb_relative_information_score: 7458.6973, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8538, predictive_accuracy: 0.8543, prior_entropy: 3.3219, recall: 0.8543, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5421, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 242.1963, build_memory: 606560411.2, f_measure: 0.9719, kappa: 0.9687, kb_relative_information_score: 2964.0108, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9722, predictive_accuracy: 0.9718, prior_entropy: 3.3219, recall: 0.9718, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 123.5658, build_memory: 268898696, f_measure: 0.9715, kappa: 0.9682, kb_relative_information_score: 2963.9799, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9718, predictive_accuracy: 0.9714, prior_entropy: 3.3219, recall: 0.9714, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 61.5949, build_memory: 211769664.8, f_measure: 0.9712, kappa: 0.9679, kb_relative_information_score: 2963.8803, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9715, predictive_accuracy: 0.9711, prior_entropy: 3.3219, recall: 0.9711, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 64.1891, build_memory: 223983497.6, f_measure: 0.9712, kappa: 0.9679, kb_relative_information_score: 2963.8803, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9715, predictive_accuracy: 0.9711, prior_entropy: 3.3219, recall: 0.9711, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 30.4405, build_memory: 937482080, f_measure: 0.9713, kappa: 0.968, kb_relative_information_score: 2964.1268, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9716, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 31.7503, build_memory: 1339378569.6, f_measure: 0.9713, kappa: 0.968, kb_relative_information_score: 2964.1268, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9716, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0007, build_memory: 312635064, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, 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: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, build_cpu_time: 0.0182, build_memory: 188964485.6, f_measure: 0.1556, kappa: 0.1397, kb_relative_information_score: 1902.6998, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1776, predictive_accuracy: 0.2257, prior_entropy: 3.3219, recall: 0.2257, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3935, root_relative_squared_error: 1.3117, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, build_cpu_time: 0.0171, build_memory: 200376395.2, f_measure: 0.1556, kappa: 0.1397, kb_relative_information_score: 1902.6998, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1776, predictive_accuracy: 0.2257, prior_entropy: 3.3219, recall: 0.2257, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3935, root_relative_squared_error: 1.3117, scimark_benchmark: 946.3269,
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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