Run
147084

Run 147084

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 02-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_MultilayerPerceptron(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_MultilayerPerceptron(2)_I10
weka.AdaBoostM1_MultilayerPerceptron(2)_P100
weka.AdaBoostM1_MultilayerPerceptron(2)_S1
weka.AdaBoostM1_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
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

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
0.7162
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9758
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6739
Cross-validation details (10-fold Crossvalidation)
KB relative information score
228.0184
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0418
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
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
0.9776
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1474
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.727
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.3111
UserCPU time millis
22620
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
22600
Cross-validation details (10-fold Crossvalidation)