Run
57116

Run 57116

Task 1731 (Learning Curve) pendigits Uploaded 12-11-2014 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.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_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.

21 Evaluation measures

Area under ROC curve
0.9997 ± 0.0003
Per class
Build CPU time
0.7408
Build memory
2314295025.3
F measure
0.9914 ± 0.0035
Per class
Kappa
0.9904 ± 0.0039
KB relative information score
0.9711 ± 0.0021
Mean absolute error
0.0108 ± 0.0006
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9914 ± 0.0035
Per class
Predictive accuracy
0.9914 ± 0.0035
Prior entropy
3.3208 ± 0.0002
Recall
0.9914 ± 0.0035
Per class
Relative absolute error
0.0599 ± 0.0035
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0492 ± 0.0032
Root relative squared error
0.164 ± 0.0106
SciMark benchmark
1910.4834