Run
434979

Run 434979

Task 75 (Learning Curve) mfeat-karhunen Uploaded 12-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.8533 ± 0.0197
Per class
F measure
0.488 ± 0.0341
Per class
Kappa
0.4637 ± 0.0376
KB relative information score
0.4523 ± 0.0227
Mean absolute error
0.1282 ± 0.0034
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4826 ± 0.0427
Per class
Predictive accuracy
0.5173 ± 0.0338
Prior entropy
3.3219
Recall
0.5173 ± 0.0338
Per class
Relative absolute error
0.7125 ± 0.0188
Root mean prior squared error
0.3
Root mean squared error
0.2524 ± 0.0057
Root relative squared error
0.8415 ± 0.019
SciMark benchmark
913.9348
UserCPU time millis
290
UserCPU time millis testing
20
UserCPU time millis training
270