DEVELOPMENT... OpenML
Run
22018

Run 22018

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-06-2014 by Felicia West
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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)_I160
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
0.857
Per class
F measure
0.6022
Per class
Kappa
0.4911
KB relative information score
390.9148
Mean absolute error
0.1658
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6027
Per class
Predictive accuracy
0.6019
Prior entropy
2.2629
Recall
0.6019
Per class
Relative absolute error
0.5293
Root mean prior squared error
0.3957
Root mean squared error
0.3714
Root relative squared error
0.9387
SciMark benchmark
937.5008[558.33565926128391015.2555353338006438.9786510470821914.34946139689831760.5845701777503]