Run
503389

Run 503389

Task 1702 (Learning Curve) kr-vs-kp Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_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
0.9933 ± 0.0022
Per class
F measure
0.9578 ± 0.0134
Per class
Kappa
0.9155 ± 0.0268
KB relative information score
2574.2523 ± 3.6124
Mean absolute error
0.1101 ± 0.0052
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9582 ± 0.0126
Per class
Predictive accuracy
0.9578 ± 0.0134
Prior entropy
0.9986
Recall
0.9578 ± 0.0134
Per class
Relative absolute error
0.2206 ± 0.0104
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1904 ± 0.0097
Root relative squared error
0.3812 ± 0.0195
SciMark benchmark
1317.3998
UserCPU time millis
60
UserCPU time millis training
60