Last active
November 22, 2019 01:40
-
-
Save lmcinnes/11cdc47c3403e4ca3422eeeb89dea8c7 to your computer and use it in GitHub Desktop.
Hierarchical clustering benchmark results for latest sklearn
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| ============================== | |
| Iteration 001 of 032 | |
| n_samples 01000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.044s | |
| Average | |
| Speed: 0.021s | |
| Complete | |
| Speed: 0.014s | |
| Ward | |
| Speed: 0.016s | |
| ============================== | |
| Iteration 002 of 032 | |
| n_samples 01000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 0.008s | |
| Average | |
| Speed: 0.026s | |
| Complete | |
| Speed: 0.020s | |
| Ward | |
| Speed: 0.021s | |
| ============================== | |
| Iteration 003 of 032 | |
| n_samples 01000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 0.011s | |
| Average | |
| Speed: 0.023s | |
| Complete | |
| Speed: 0.022s | |
| Ward | |
| Speed: 0.026s | |
| ============================== | |
| Iteration 004 of 032 | |
| n_samples 01000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 0.023s | |
| Average | |
| Speed: 0.034s | |
| Complete | |
| Speed: 0.032s | |
| Ward | |
| Speed: 0.035s | |
| ============================== | |
| Iteration 005 of 032 | |
| n_samples 03000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.056s | |
| Average | |
| Speed: 0.248s | |
| Complete | |
| Speed: 0.155s | |
| Ward | |
| Speed: 0.233s | |
| ============================== | |
| Iteration 006 of 032 | |
| n_samples 03000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 0.072s | |
| Average | |
| Speed: 0.304s | |
| Complete | |
| Speed: 0.258s | |
| Ward | |
| Speed: 0.242s | |
| ============================== | |
| Iteration 007 of 032 | |
| n_samples 03000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 0.095s | |
| Average | |
| Speed: 0.262s | |
| Complete | |
| Speed: 0.247s | |
| Ward | |
| Speed: 0.260s | |
| ============================== | |
| Iteration 008 of 032 | |
| n_samples 03000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 0.203s | |
| Average | |
| Speed: 0.364s | |
| Complete | |
| Speed: 0.353s | |
| Ward | |
| Speed: 0.373s | |
| ============================== | |
| Iteration 009 of 032 | |
| n_samples 05000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.152s | |
| Average | |
| Speed: 0.674s | |
| Complete | |
| Speed: 0.448s | |
| Ward | |
| Speed: 0.501s | |
| ============================== | |
| Iteration 010 of 032 | |
| n_samples 05000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 0.186s | |
| Average | |
| Speed: 0.693s | |
| Complete | |
| Speed: 0.665s | |
| Ward | |
| Speed: 0.691s | |
| ============================== | |
| Iteration 011 of 032 | |
| n_samples 05000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 0.264s | |
| Average | |
| Speed: 0.775s | |
| Complete | |
| Speed: 0.723s | |
| Ward | |
| Speed: 0.750s | |
| ============================== | |
| Iteration 012 of 032 | |
| n_samples 05000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 0.553s | |
| Average | |
| Speed: 1.083s | |
| Complete | |
| Speed: 1.013s | |
| Ward | |
| Speed: 1.083s | |
| ============================== | |
| Iteration 013 of 032 | |
| n_samples 07000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.285s | |
| Average | |
| Speed: 1.323s | |
| Complete | |
| Speed: 1.012s | |
| Ward | |
| Speed: 1.145s | |
| ============================== | |
| Iteration 014 of 032 | |
| n_samples 07000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 0.355s | |
| Average | |
| Speed: 1.605s | |
| Complete | |
| Speed: 1.434s | |
| Ward | |
| Speed: 1.498s | |
| ============================== | |
| Iteration 015 of 032 | |
| n_samples 07000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 0.525s | |
| Average | |
| Speed: 1.762s | |
| Complete | |
| Speed: 1.606s | |
| Ward | |
| Speed: 1.719s | |
| ============================== | |
| Iteration 016 of 032 | |
| n_samples 07000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 1.210s | |
| Average | |
| Speed: 2.420s | |
| Complete | |
| Speed: 2.383s | |
| Ward | |
| Speed: 2.261s | |
| ============================== | |
| Iteration 017 of 032 | |
| n_samples 09000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.473s | |
| Average | |
| Speed: 1.836s | |
| Complete | |
| Speed: 1.702s | |
| Ward | |
| Speed: 1.935s | |
| ============================== | |
| Iteration 018 of 032 | |
| n_samples 09000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 0.591s | |
| Average | |
| Speed: 2.582s | |
| Complete | |
| Speed: 2.481s | |
| Ward | |
| Speed: 2.526s | |
| ============================== | |
| Iteration 019 of 032 | |
| n_samples 09000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 1.155s | |
| Average | |
| Speed: 2.917s | |
| Complete | |
| Speed: 2.763s | |
| Ward | |
| Speed: 2.852s | |
| ============================== | |
| Iteration 020 of 032 | |
| n_samples 09000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 1.869s | |
| Average | |
| Speed: 3.885s | |
| Complete | |
| Speed: 3.802s | |
| Ward | |
| Speed: 3.909s | |
| ============================== | |
| Iteration 021 of 032 | |
| n_samples 11000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.691s | |
| Average | |
| Speed: 3.402s | |
| Complete | |
| Speed: 2.763s | |
| Ward | |
| Speed: 2.961s | |
| ============================== | |
| Iteration 022 of 032 | |
| n_samples 11000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 0.889s | |
| Average | |
| Speed: 4.016s | |
| Complete | |
| Speed: 3.847s | |
| Ward | |
| Speed: 3.998s | |
| ============================== | |
| Iteration 023 of 032 | |
| n_samples 11000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 1.252s | |
| Average | |
| Speed: 4.503s | |
| Complete | |
| Speed: 4.245s | |
| Ward | |
| Speed: 4.386s | |
| ============================== | |
| Iteration 024 of 032 | |
| n_samples 11000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 2.929s | |
| Average | |
| Speed: 6.063s | |
| Complete | |
| Speed: 5.785s | |
| Ward | |
| Speed: 5.900s | |
| ============================== | |
| Iteration 025 of 032 | |
| n_samples 13000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 0.965s | |
| Average | |
| Speed: 4.038s | |
| Complete | |
| Speed: 3.654s | |
| Ward | |
| Speed: 4.244s | |
| ============================== | |
| Iteration 026 of 032 | |
| n_samples 13000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 1.232s | |
| Average | |
| Speed: 5.939s | |
| Complete | |
| Speed: 5.569s | |
| Ward | |
| Speed: 5.690s | |
| ============================== | |
| Iteration 027 of 032 | |
| n_samples 13000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 1.760s | |
| Average | |
| Speed: 6.444s | |
| Complete | |
| Speed: 6.133s | |
| Ward | |
| Speed: 6.277s | |
| ============================== | |
| Iteration 028 of 032 | |
| n_samples 13000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 4.282s | |
| Average | |
| Speed: 8.674s | |
| Complete | |
| Speed: 8.401s | |
| Ward | |
| Speed: 8.708s | |
| ============================== | |
| Iteration 029 of 032 | |
| n_samples 15000; n_features 02 | |
| ============================== | |
| Single | |
| Speed: 1.277s | |
| Average | |
| Speed: 6.112s | |
| Complete | |
| Speed: 5.098s | |
| Ward | |
| Speed: 5.893s | |
| ============================== | |
| Iteration 030 of 032 | |
| n_samples 15000; n_features 10 | |
| ============================== | |
| Single | |
| Speed: 1.647s | |
| Average | |
| Speed: 8.249s | |
| Complete | |
| Speed: 7.735s | |
| Ward | |
| Speed: 7.923s | |
| ============================== | |
| Iteration 031 of 032 | |
| n_samples 15000; n_features 20 | |
| ============================== | |
| Single | |
| Speed: 2.377s | |
| Average | |
| Speed: 8.998s | |
| Complete | |
| Speed: 8.559s | |
| Ward | |
| Speed: 8.826s | |
| ============================== | |
| Iteration 032 of 032 | |
| n_samples 15000; n_features 50 | |
| ============================== | |
| Single | |
| Speed: 5.874s | |
| Average | |
| Speed: 12.188s | |
| Complete | |
| Speed: 11.621s | |
| Ward | |
| Speed: 12.046s | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment