4 ms·
Show HN: AutoML state-of-the-art performance on tabular data
- pplonski86 6y agoDataset Auto-WEKA auto-sklearn TPOT H2O AutoML GCP-Tables AutoGluon MLJAR -------------- ----------- -------------- ------- ------------ ------------ ----------- ------- ieee-fraud 0.119 0.349 0.119 0.322 0.172 value 0.114 0.319 0.325 0.377 0.415 0.445 walmart 0.390 0.379 0.398 0.384 0.423 transaction 0.131 0.329 0.326 0.404 0.406 0.463 porto 0.158 0.331 0.315 0.406 0.434 0.462 0.540 allstate 0.124 0.310 0.237 0.352 0.74 0.706 0.764 mercedes 0.160 0.444 0.547 0.363 0.658 0.169 0.879 otto 0.145 0.717 0.597 0.729 0.821 0.988 0.924 satisfaction 0.235 0.408 0.495 0.740 0.763 0.823 0.975 bnp-paribas 0.193 0.412 0.460 0.417 0.440 0.986 0.986