DEVELOPMENT... OpenML
Run
20322

Run 20322

Task 42 (Supervised Classification) haberman Uploaded 18-06-2014 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)_I10
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
0.6465
Per class
F measure
0.6763
Per class
Kappa
0.1337
KB relative information score
40.2021
Mean absolute error
0.3064
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6658
Per class
Predictive accuracy
0.6961
Prior entropy
0.836
Recall
0.6961
Per class
Relative absolute error
0.7855
Root mean prior squared error
0.4412
Root mean squared error
0.5167
Root relative squared error
1.1711
SciMark benchmark
938.9212[564.114047767191015.2555353338006477.2185884444444899.29332223166991738.7243798011214]