10
folds and 1
repetitions.The performance is measured in three different ways.
algo | model | succ | par10 | mcp |
---|---|---|---|---|
baseline | vbs | 0.980 | 20768926.162 | 0.000 |
baseline | singleBest | 0.971 | 28978538.201 | 820965.751 |
baseline | singleBestByPar | 0.971 | 28978538.201 | 820965.751 |
baseline | singleBestBySuccesses | 0.971 | 28978538.201 | 820965.751 |
classif | rpart | 0.969 | 31798065.226 | 1124141.120 |
classif | randomForest | 0.971 | 29688043.470 | 900576.134 |
classif | ksvm | 0.976 | 24277795.373 | 363677.250 |
cluster | XMeans | 0.974 | 26137656.548 | 494292.295 |
regr | lm | 0.975 | 25495667.902 | 481113.659 |
regr | rpart | 0.973 | 27564806.069 | 663797.158 |
regr | randomForest | 0.975 | 25293640.127 | 436294.922 |
The following default feature steps were used for model building:
cheap_pattern, cheap_target, distance_pattern, distance_target, lad_features
Number of presolved instances: 0
The cost for using the feature steps (adapted for presolving) is: 0
or on average: 0
The feature steps correspond to the following 35
/ 35
instance features:
cheap.pattern.time, cheap.pattern.vertices, cheap.pattern.edges, cheap.pattern.loops, cheap.pattern.meandeg,
cheap.pattern.maxdeg, cheap.pattern.degisfixed, cheap.pattern.density, cheap.target.time, cheap.target.vertices,
cheap.target.edges, cheap.target.loops, cheap.target.meandeg, cheap.target.maxdeg, cheap.target.degisfixed,
cheap.target.density, distance.pattern.time, distance.pattern.isconnected, distance.pattern.meandistance, distance.pattern.maxdistance,
distance.pattern.proportiondistancege2, distance.pattern.proportiondistancege3, distance.pattern.proportiondistancege4, distance.target.time, distance.target.isconnected,
distance.target.meandistance, distance.target.maxdistance, distance.target.proportiondistancege2, distance.target.proportiondistancege3, distance.target.proportiondistancege4,
lad.values.removed, lad.values.removed.percent, lad.values.removed.min, lad.values.removed.max, lad.time
7
to 2
, resulting in a PAR10 score of 24235562.563
for the reduced model. Analogously, the model that was generated based on 5
of the originally 35
features resulted in a PAR10 score of 23231401.992
.
Below, you can find the list of the selected features and solvers:
Selected Features:
cheap.pattern.vertices, distance.pattern.maxdistance, distance.pattern.proportiondistancege2, distance.pattern.proportiondistancege3, lad.time
Selected Solvers:
supplementallad, glasgow2