Run
1814983

Run 1814983

Task 125869 (Learning Curve) kc2 Uploaded 07-09-2016 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
0.8352 ± 0.0649
Per class
F measure
0.8175 ± 0.0479
Per class
Kappa
0.4039 ± 0.1573
KB relative information score
142.7542 ± 5.9036
Mean absolute error
0.2194 ± 0.0271
Mean prior absolute error
0.3266 ± 0.0052
Number of instances
522
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.817 ± 0.0537
Per class
Predictive accuracy
0.8333 ± 0.0396
Prior entropy
0.734
Recall
0.8333 ± 0.0396
Per class
Relative absolute error
0.6719 ± 0.0814
Root mean prior squared error
0.4037 ± 0.0065
Root mean squared error
0.3416 ± 0.039
Root relative squared error
0.8463 ± 0.0939
SciMark benchmark
1502.5099
UserCPU time millis
14560
UserCPU time millis testing
20
UserCPU time millis training
14540