OpenML
22317

Run 22317

Task 22 (Supervised Classification) mfeat-zernike Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.MultilayerPerceptron(1)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.1
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

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.

19 Evaluation measures

Area under ROC curve
0.9741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8166
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1672.9808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8156
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.82
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.82
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2202
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1613
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5376
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.6912[559.94883937717861014.7208839634673482.14720472367435907.07263143401181764.5664888040972]