Run
55100

Run 55100

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 10-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.RacedIncrementalLogitBoost_DecisionStump(2)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(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.8573 ± 0.0199
Per class
Build CPU time
0.0089
Build memory
917907243.2727
F measure
0.4779 ± 0.0295
Per class
Kappa
0.4594 ± 0.0268
KB relative information score
0.4518 ± 0.0127
Mean absolute error
0.1288 ± 0.0021
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4704 ± 0.0343
Per class
Predictive accuracy
0.5135 ± 0.0242
Prior entropy
3.3219
Recall
0.5135 ± 0.0242
Per class
Relative absolute error
0.7155 ± 0.0114
Root mean prior squared error
0.3
Root mean squared error
0.2519 ± 0.003
Root relative squared error
0.8395 ± 0.01
SciMark benchmark
1634.4504