Model Info

Learn: 0.002377169047
Test: 0.1003263356
Learning time: 6 mins
Feature names: Message
Feature importance:
Message: 100.0%
Model Size: 3.4 MB
Data Size: 0.28 MB
Algorithm: CatBoost (Gradient Boosting)
Tree Count: 500
Learning Rate: 1
One-Hot Max Size: 8
Test Size: 0.2
Shuffle Data: True
Use Best Model: False
nan_mode: Min
eval_metric: MultiClass
iterations: 500
sampling_frequency: PerTree
leaf_estimation_method: Newton
grow_policy: SymmetricTree
penalties_coefficient: 1
boosting_type: Plain
model_shrink_mode: Constant
feature_border_type: GreedyLogSum
bayesian_matrix_reg: 0.1000000015
force_unit_auto_pair_weights: False
l2_leaf_reg: 3
random_strength: 1
rsm: 1
boost_from_average: False
model_size_reg: 0.5
pool_metainfo_options: {'tags': {}}
use_best_model: False
class_names: ['Not Spam', 'Spam']
random_seed: 0
depth: 8
posterior_sampling: False
border_count: 254
bagging_temperature: 1
classes_count: 0
auto_class_weights: None
sparse_features_conflict_fraction: 0
leaf_estimation_backtracking: AnyImprovement
best_model_min_trees: 1
model_shrink_rate: 0
min_data_in_leaf: 1
text_processing: {'feature_processing': {'default': [{'dictionaries_names': ['BiGram', 'Word'], 'feature_calcers': ['BoW'], 'tokenizers_names': ['Space']}, {'dictionaries_names': ['Word'], 'feature_calcers': ['NaiveBayes'], 'tokenizers_names': ['Space']}]}, 'dictionaries': [{'start_token_id': '0', 'occurrence_lower_bound': '5', 'skip_step': '0', 'end_of_word_token_policy': 'Insert', 'token_level_type': 'Word', 'end_of_sentence_token_policy': 'Skip', 'gram_order': '2', 'max_dictionary_size': '50000', 'dictionary_id': 'BiGram'}, {'start_token_id': '0', 'occurrence_lower_bound': '5', 'skip_step': '0', 'end_of_word_token_policy': 'Insert', 'token_level_type': 'Word', 'end_of_sentence_token_policy': 'Skip', 'gram_order': '1', 'max_dictionary_size': '50000', 'dictionary_id': 'Word'}], 'tokenizers': [{'number_token': '🔢', 'skip_empty': '1', 'number_process_policy': 'LeaveAsIs', 'tokenizer_id': 'Space', 'token_types': ['Number', 'Unknown', 'Word'], 'delimiter': ' ', 'languages': [], 'lemmatizing': '0', 'split_by_set': '0', 'lowercasing': '0', 'subtokens_policy': 'SingleToken', 'separator_type': 'ByDelimiter'}]}
loss_function: MultiClass
learning_rate: 1
score_function: Cosine
task_type: CPU
leaf_estimation_iterations: 1
bootstrap_type: Bayesian
max_leaves: 256