Run
18163

Run 18163

Task 11 (Supervised Classification) balance-scale Uploaded 10-06-2014 by Joaquin Vanschoren
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)_I20
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
0.9795
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9278
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8734
Cross-validation details (10-fold Crossvalidation)
KB relative information score
534.434
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0498
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9276
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.928
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.928
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1312
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4616
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.8262[561.93317930202351013.6533959159474483.88543266528814911.48820099582031738.1709066016394]