Run
503556

Run 503556

Task 10088 (Learning Curve) vehicleNorm Uploaded 29-12-2015 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
0.8966 ± 0.0026
Per class
F measure
0.8348 ± 0.0036
Per class
Kappa
0.671 ± 0.0069
KB relative information score
41238.049 ± 43.4124
Mean absolute error
0.313 ± 0.002
Mean prior absolute error
0.5
Number of instances
98528
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8411 ± 0.0033
Per class
Predictive accuracy
0.8355 ± 0.0035
Prior entropy
1
Recall
0.8355 ± 0.0035
Per class
Relative absolute error
0.626 ± 0.0041
Root mean prior squared error
0.5
Root mean squared error
0.3637 ± 0.0019
Root relative squared error
0.7273 ± 0.0037
SciMark benchmark
1648.7758
UserCPU time millis
464350
UserCPU time millis testing
140
UserCPU time millis training
464210