DEVELOPMENT... OpenML
Run
21723

Run 21723

Task 2076 (Supervised Classification) kropt Uploaded 19-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I80
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
0.9536
Per class
F measure
0.6781
Per class
Kappa
0.6427
KB relative information score
6728.3901
Mean absolute error
0.0931
Mean prior absolute error
0.0995
Number of instances
28056
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6777
Per class
Predictive accuracy
0.681
Prior entropy
3.5053
Recall
0.681
Per class
Relative absolute error
0.9352
Root mean prior squared error
0.2231
Root mean squared error
0.2045
Root relative squared error
0.9168
SciMark benchmark
921.733[568.526965804383983.3911977944585469.08772734606856869.17770948838741718.4812395285503]