DEVELOPMENT... OpenML
Run
154823

Run 154823

Task 1710 (Learning Curve) balance-scale Uploaded 10-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.RandomTree(10)Weka implementation of RandomTree
weka.RandomTree(10)_K0
weka.RandomTree(10)_M1.0
weka.RandomTree(10)_V0.001
weka.RandomTree(10)_S1

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
0.8398 ± 0.0263
Per class
F measure
0.7953 ± 0.0295
Per class
Kappa
0.6234 ± 0.0496
KB relative information score
0.5611 ± 0.0471
Mean absolute error
0.1461 ± 0.0202
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8104 ± 0.0342
Per class
Predictive accuracy
0.7808 ± 0.0304
Prior entropy
1.3181 ± 0.0124
Recall
0.7808 ± 0.0304
Per class
Relative absolute error
0.3848 ± 0.0529
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3823 ± 0.0257
Root relative squared error
0.8776 ± 0.0582
SciMark benchmark
639.2945
UserCPU time millis
10
UserCPU time millis training
10