https://www.kaggle.com/c/statoil-iceberg-classifier-challenge
- Grover's notebook: https://github.com/groverpr/deep-learning/blob/master/image_comp_1_2.ipynb
- https://www.kaggle.com/devm2024/keras-model-for-beginners-0-210-on-lb-eda-r-d
- add incidence angle
- cross validation
- stacking of models (ensembling)
- look at, within various models, which images are being misclassified
- RS: notebook had CV https://github.com/irshadqemu/Kaggle-Competitions/blob/master/Planet_amazon_resnet34.ipynb
- RS: running Grover's NB, with resnext50, increase image size sequentially (my notebook 7_5_xxx)
- RS: submit that notebook where I had 0.2258
- valid log_loss = 0.2918
- test log_loss = 0.2932
- bs=32, image sz=75, resize 1.3x
- valid log_loss = 0.269
- test log_loss = 0.2566
- notebook: http://localhost:8888/notebooks/kaggle_iceberg/7_1_resnext50_more_epoch_submitted.ipynb
- submitted Jan 14
- bs=32, sz=150, resize 1.3, sgdr 5 epochs
- Leaderboard: 2452 of 3380 --> 78 percentile
- valid log_loss = 0.2508
- test log_loss = 0.2394
- notebook: 7_6_x
- submitted Jan 20
- bs=32, sz=75, resize 1.3, sgdr 5 epochs
- Leaderboard: 2333 of 3309 --> 70.5 percentile
- valid log_loss = 0.2272
- test log_loss = 0.2073
- notebook: http://localhost:8888/notebooks/my_repos/kaggle_iceberg/7_7_resnext50_more_epoch_update_sz_zm15.ipynb
- submitted Jan 20
- bs=32, sz=75, resize 1.5, sgdr 5 epochs, lr=0.0075, dropout=0.55
- Leaderboard: 1997 of 3310 --> 60th percentile
- valid log_loss = 0.xxxx
- test log_loss = 0.xxx
- notebook: 7_x
- submitted
- bs=32, sz=150, resize 1.3, sgdr 5 epochs
- Leaderboard: 2xxx of xxxx
- got 0.2258 ? resnext50, more epochs?
- 1997 of 3310 --> 60th percentile 0.2073
- 1655 of 3310 --> 50th percentile 0.1865
- 984 of 3310 --> 29.7 percentile 0.1498
- 827 of 3310 --> 25th percentile 0.1463
- 19 of 3310 --> 0.6 percentile 0.1002