DEVELOPMENT... OpenML
Run
18360

Run 18360

Task 13 (Supervised Classification) breast-cancer Uploaded 10-06-2014 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
0.6516
Per class
F measure
0.6835
Per class
Kappa
0.2316
KB relative information score
59.1186
Mean absolute error
0.3089
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6796
Per class
Predictive accuracy
0.6888
Prior entropy
0.8796
Recall
0.6888
Per class
Relative absolute error
0.7385
Root mean prior squared error
0.457
Root mean squared error
0.528
Root relative squared error
1.1553
SciMark benchmark
940.7101[567.04832706770641014.1868590421574471.97440834681885905.50597629765381744.8348669817344]