Run
503411

Run 503411

Task 10051 (Learning Curve) gina_prior Uploaded 28-12-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.908 ± 0.0104
Per class
F measure
0.8339 ± 0.0175
Per class
Kappa
0.6678 ± 0.0344
KB relative information score
1470.4207 ± 4.8632
Mean absolute error
0.3107 ± 0.0069
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8341 ± 0.0169
Per class
Predictive accuracy
0.8339 ± 0.0173
Prior entropy
0.9998
Recall
0.8339 ± 0.0173
Per class
Relative absolute error
0.6215 ± 0.0138
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3615 ± 0.0059
Root relative squared error
0.7232 ± 0.0119
SciMark benchmark
1337.8348
UserCPU time millis
20580
UserCPU time millis training
20580