Run
503421

Run 503421

Task 10068 (Learning Curve) mc1 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
0.9043 ± 0.0825
Per class
F measure
0.9911 ± 0.0013
Per class
Kappa
0.2331 ± 0.2364
KB relative information score
-83831.7873 ± 683.9257
Mean absolute error
0.0259 ± 0.002
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9909 ± 0.0019
Per class
Predictive accuracy
0.9931 ± 0.0011
Prior entropy
0.0622
Recall
0.9931 ± 0.0011
Per class
Relative absolute error
1.8044 ± 0.1274
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0874 ± 0.0051
Root relative squared error
1.0344 ± 0.0474
SciMark benchmark
1337.8348
UserCPU time millis
840
UserCPU time millis training
840