DEVELOPMENT... OpenML
Run
164123

Run 164123

Task 3589 (Supervised Classification) fri_c4_1000_25 Uploaded 17-02-2015 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)_I80
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
0.9426
Per class
F measure
0.8677
Per class
Kappa
0.7327
KB relative information score
713.454
Mean absolute error
0.1443
Mean prior absolute error
0.4956
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.868
Per class
Predictive accuracy
0.868
Prior entropy
0.9936
Recall
0.868
Per class
Relative absolute error
0.2912
Root mean prior squared error
0.4978
Root mean squared error
0.3251
Root relative squared error
0.653
SciMark benchmark
936.6206
UserCPU time millis
830
UserCPU time millis training
830