DEVELOPMENT... OpenML
Run
162267

Run 162267

Task 3895 (Supervised Classification) gina_prior Uploaded 16-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.8539
Per class
F measure
0.7377
Per class
Kappa
0.4842
KB relative information score
1680.1043
Mean absolute error
0.2585
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7627
Per class
Predictive accuracy
0.7434
Prior entropy
0.9998
Recall
0.7434
Per class
Relative absolute error
0.5171
Root mean prior squared error
0.4999
Root mean squared error
0.4646
Root relative squared error
0.9294
SciMark benchmark
938.4278
UserCPU time millis
5770
UserCPU time millis training
5770