Run
9199695

Run 9199695

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 02-05-2018 by Irfan Nur Afif
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Flow

keras.wrappers.scikit_learn.KerasClassifier(2)Automatically created scikit-learn flow.
keras.wrappers.scikit_learn.KerasClassifier(2)_batch_size32
keras.wrappers.scikit_learn.KerasClassifier(2)_build_fn{"layer0": [["class_name", "Reshape"], ["config", {"batch_input_shape": [null, 784], "dtype": "float32", "name": "reshape_214", "target_shape": [28, 28, 1], "trainable": true}]], "layer1": [["class_name", "Conv2D"], ["config", {"activation": "linear", "activity_regularizer": null, "batch_input_shape": [null, 1, 28, 28], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 6, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_497", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}]]}
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs2
keras.wrappers.scikit_learn.KerasClassifier(2)_verbose1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8382 ± 0.1885
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5279 ± 0.0824
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4586 ± 0.3229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
34818.0547 ± 2245.2827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1082 ± 0.0508
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5986 ± 0.0311
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5127 ± 0.2906
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.5127 ± 0.2906
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6011 ± 0.2825
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2529 ± 0.0779
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.843 ± 0.2596
Cross-validation details (10-fold Crossvalidation)