Run
503409

Run 503409

Task 10055 (Learning Curve) kc1 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
0.7853 ± 0.0475
Per class
F measure
0.8151 ± 0.0267
Per class
Kappa
0.1996 ± 0.1162
KB relative information score
-945.9488 ± 13.4172
Mean absolute error
0.2831 ± 0.0087
Mean prior absolute error
0.2616 ± 0.0016
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8181 ± 0.0504
Per class
Predictive accuracy
0.8511 ± 0.0185
Prior entropy
0.622
Recall
0.8511 ± 0.0185
Per class
Relative absolute error
1.0824 ± 0.0308
Root mean prior squared error
0.3615 ± 0.0023
Root mean squared error
0.3493 ± 0.0105
Root relative squared error
0.9662 ± 0.026
SciMark benchmark
1674.9818
UserCPU time millis
100
UserCPU time millis training
100