DEVELOPMENT... OpenML
Run
65062

Run 65062

Task 3633 (Supervised Classification) analcatdata_apnea1 Uploaded 19-11-2014 by Felicia West
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Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I160
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
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.

21 Evaluation measures

Area under ROC curve
0.9189
Per class
Build CPU time
124.156
Build memory
36334008.1684
F measure
0.9393
Per class
Kappa
0.7211
KB relative information score
282.6252
Mean absolute error
0.0748
Mean prior absolute error
0.225
Number of instances
475
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9386
Per class
Predictive accuracy
0.9411
Prior entropy
0.5574
Recall
0.9411
Per class
Relative absolute error
0.3326
Root mean prior squared error
0.3346
Root mean squared error
0.2128
Root relative squared error
0.6362
SciMark benchmark
934.4076