Run
154876

Run 154876

Task 1727 (Learning Curve) optdigits Uploaded 10-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_num-slots1

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
0.9997 ± 0.0002
Per class
F measure
0.9838 ± 0.0064
Per class
Kappa
0.982 ± 0.0071
KB relative information score
0.911 ± 0.005
Mean absolute error
0.032 ± 0.0014
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9839 ± 0.0063
Per class
Predictive accuracy
0.9838 ± 0.0064
Prior entropy
3.3218 ± 0.0001
Recall
0.9838 ± 0.0064
Per class
Relative absolute error
0.1775 ± 0.0075
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0852 ± 0.0036
Root relative squared error
0.2841 ± 0.0122
SciMark benchmark
639.2945
UserCPU time millis
5410
UserCPU time millis testing
390
UserCPU time millis training
5020