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Run
147084

Run 147084

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 02-02-2015 by Felicia West
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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
F measure
0.9758
Per class
Kappa
0.6739
KB relative information score
228.0184
Mean absolute error
0.0418
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9776
Per class
Predictive accuracy
0.9785
Prior entropy
0.2628
Recall
0.9785
Per class
Relative absolute error
0.4998
Root mean prior squared error
0.2027
Root mean squared error
0.1474
Root relative squared error
0.727
SciMark benchmark
923.3111
UserCPU time millis
22620
UserCPU time millis testing
20
UserCPU time millis training
22600