Run
1815010

Run 1815010

Task 125878 (Learning Curve) autoUniv-au7-1100 Uploaded 08-09-2016 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.

22 Evaluation measures

Area under ROC curve
0.6621 ± 0.0225
Per class
F measure
0.354 ± 0.0367
Per class
Kappa
0.1865 ± 0.0414
KB relative information score
244.2682 ± 1.7642
Mean absolute error
0.2795 ± 0.0043
Mean prior absolute error
0.3154 ± 0.0001
Number of instances
1100
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.3578 ± 0.0341
Per class
Predictive accuracy
0.3655 ± 0.0302
Prior entropy
2.281
Recall
0.3655 ± 0.0302
Per class
Relative absolute error
0.8861 ± 0.0137
Root mean prior squared error
0.3971 ± 0.0002
Root mean squared error
0.3931 ± 0.0055
Root relative squared error
0.9899 ± 0.0138
SciMark benchmark
1273.4561
UserCPU time millis
35950
UserCPU time millis testing
60
UserCPU time millis training
35890