DEVELOPMENT... OpenML
Run
170395

Run 170395

Task 47 (Supervised Classification) tae Uploaded 20-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_MultilayerPerceptron(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0
weka.MultiBoostAB_MultilayerPerceptron(2)_C3
weka.MultiBoostAB_MultilayerPerceptron(2)_P100
weka.MultiBoostAB_MultilayerPerceptron(2)_S1
weka.MultiBoostAB_MultilayerPerceptron(2)_I10
weka.MultiBoostAB_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7186
Per class
F measure
0.55
Per class
Kappa
0.3254
KB relative information score
54.4829
Mean absolute error
0.3149
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.558
Per class
Predictive accuracy
0.5497
Prior entropy
1.5845
Recall
0.5497
Per class
Relative absolute error
0.7088
Root mean prior squared error
0.4713
Root mean squared error
0.4777
Root relative squared error
1.0135
SciMark benchmark
940.3346
UserCPU time millis
1630
UserCPU time millis testing
10
UserCPU time millis training
1620

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