Run
53969

Run 53969

Task 1748 (Learning Curve) tic-tac-toe Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I10
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
0.9979 ± 0.0018
Per class
Build CPU time
11.0411
Build memory
137509131.7333
F measure
0.979 ± 0.0133
Per class
Kappa
0.9535 ± 0.0295
KB relative information score
0.9356 ± 0.0263
Mean absolute error
0.0303 ± 0.0112
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9793 ± 0.0125
Per class
Predictive accuracy
0.9791 ± 0.0131
Prior entropy
0.931 ± 0.0039
Recall
0.9791 ± 0.0131
Per class
Relative absolute error
0.0669 ± 0.0247
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1233 ± 0.0359
Root relative squared error
0.2591 ± 0.0754
SciMark benchmark
1615.5755