DEVELOPMENT... OpenML
Run
166181

Run 166181

Task 3020 (Supervised Classification) covertype Uploaded 18-02-2015 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)_I160
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
0.81
Per class
F measure
0.7269
Per class
Kappa
0.4582
KB relative information score
258856.4704
Mean absolute error
0.2792
Mean prior absolute error
0.4997
Number of instances
581012
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7355
Per class
Predictive accuracy
0.7282
Prior entropy
0.9996
Recall
0.7282
Per class
Relative absolute error
0.5588
Root mean prior squared error
0.4998
Root mean squared error
0.4848
Root relative squared error
0.9699
SciMark benchmark
934.5243
UserCPU time millis
4921080
UserCPU time millis testing
9030
UserCPU time millis training
4912050