Run
22313

Run 22313

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I40
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
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
0.9907
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1902.4443
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0118
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
0.9606
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9605
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0855
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2849
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.6288[553.55145265954061005.7176405886515479.99187728791736906.13200343296361757.7512505720342]