Upgrade evalml to latest xgboost

[eccabay]

In their most recent release, xgboost deprecated their _use_label_encoder argument, which caused a number of our tests to fail. This removes the usage of that argument entirely.

[codecov]

Codecov Report

Merging #3805 (641634f) into main (5945a41) will increase coverage by 44.8%.
The diff coverage is 100.0%.

@@           Coverage Diff            @@
##            main   #3805      +/-   ##
========================================
+ Coverage   54.9%   99.7%   +44.8%     
========================================
  Files        343     343              
  Lines      35813   35794      -19     
========================================
+ Hits       19660   35657   +15997     
+ Misses     16153     137   -16016     

Impacted Files	Coverage Δ
...l/tests/component_tests/test_xgboost_classifier.py	100.0% <ø> (ø)
...nents/estimators/classifiers/xgboost_classifier.py	100.0% <100.0%> (+1.9%)	⬆️
...components/transformers/imputers/target_imputer.py	100.0% <0.0%> (+1.8%)	⬆️
evalml/automl/engine/engine_base.py	96.7% <0.0%> (+2.1%)	⬆️
...rs/preprocessing/transform_primitive_components.py	100.0% <0.0%> (+2.7%)	⬆️
...components/transformers/scalers/standard_scaler.py	100.0% <0.0%> (+2.8%)	⬆️
.../pipelines/binary_classification_pipeline_mixin.py	100.0% <0.0%> (+3.2%)	⬆️
evalml/pipelines/binary_classification_pipeline.py	100.0% <0.0%> (+4.2%)	⬆️
...l/pipelines/components/transformers/transformer.py	100.0% <0.0%> (+4.4%)	⬆️
...components/transformers/encoders/target_encoder.py	100.0% <0.0%> (+5.0%)	⬆️
... and 94 more

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.