DEVELOPMENT... OpenML
Run
21500

Run 21500

Task 43 (Supervised Classification) spambase Uploaded 19-06-2014 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
0.9371
Per class
F measure
0.91
Per class
Kappa
0.8106
KB relative information score
3413.1889
Mean absolute error
0.1327
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9109
Per class
Predictive accuracy
0.9107
Prior entropy
0.9674
Recall
0.9107
Per class
Relative absolute error
0.2778
Root mean prior squared error
0.4886
Root mean squared error
0.2738
Root relative squared error
0.5604
SciMark benchmark
908.0669[560.84909930399091009.6699252256896480.2065271424506907.07263143401181582.5364742315753]