Run
1816066

Run 1816066

Task 125858 (Learning Curve) fbis.wc Uploaded 10-09-2016 by Jan van Rijn
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Flow

weka.Bagging_MultilayerPerceptron(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_H10
weka.Bagging_MultilayerPerceptron(3)_P100
weka.Bagging_MultilayerPerceptron(3)_S1
weka.Bagging_MultilayerPerceptron(3)_num-slots1
weka.Bagging_MultilayerPerceptron(3)_I10
weka.Bagging_MultilayerPerceptron(3)_Wweka.classifiers.functions.MultilayerPerceptron

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.

20 Evaluation measures

Area under ROC curve
0.6853 ± 0.0571
Per class
Kappa
0.1252 ± 0.0779
KB relative information score
92.8868 ± 1.522
Mean absolute error
0.103 ± 0.0005
Mean prior absolute error
0.1047 ± 0
Number of instances
2463
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Predictive accuracy
0.2956 ± 0.0571
Prior entropy
3.5848
Recall
0.2956 ± 0.0571
Per class
Relative absolute error
0.983 ± 0.005
Root mean prior squared error
0.2288 ± 0.0001
Root mean squared error
0.2255 ± 0.001
Root relative squared error
0.9854 ± 0.0043
SciMark benchmark
1259.3263
UserCPU time millis
10943180
UserCPU time millis testing
178670
UserCPU time millis training
10764510