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Pawel Sarkowicz
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data/04_climb_features/feature_explanations.txt
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data/04_climb_features/feature_explanations.txt
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Tension Board 2 – Feature Engineering Explanation
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This document explains the engineered features used for climb difficulty prediction.
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--------------------------------------------------
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1. BASIC STRUCTURE FEATURES
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--------------------------------------------------
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angle
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Wall angle in degrees.
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total_holds
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Total number of holds in the climb.
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hand_holds / foot_holds
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Number of hand vs foot holds.
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start_holds / finish_holds / middle_holds
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Counts of hold roles.
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--------------------------------------------------
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2. MATCHING FEATURE
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--------------------------------------------------
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is_nomatch
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Binary feature indicating whether matching is disallowed.
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Derived from:
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- explicit flag OR
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- description text (e.g. “no match”, “no matching”)
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--------------------------------------------------
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3. SPATIAL FEATURES
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--------------------------------------------------
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mean_x, mean_y
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Center of mass of all holds.
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std_x, std_y
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Spread of holds.
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range_x, range_y
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Width and height of climb.
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min_y, max_y
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Lowest and highest holds.
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height_gained
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Total vertical gain.
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height_gained_start_finish
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Vertical gain from start to finish.
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--------------------------------------------------
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4. START / FINISH FEATURES
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--------------------------------------------------
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start_height, finish_height
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Average height of start/finish holds.
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start_height_min/max, finish_height_min/max
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Range of start/finish positions.
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--------------------------------------------------
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5. BOUNDING BOX FEATURES
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--------------------------------------------------
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bbox_area
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Area covered by climb.
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bbox_aspect_ratio
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Horizontal vs vertical shape.
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bbox_normalized_area
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Relative coverage of board.
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hold_density
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Holds per unit area.
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holds_per_vertical_foot
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Vertical density.
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--------------------------------------------------
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6. SYMMETRY FEATURES
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--------------------------------------------------
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left_holds, right_holds
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Distribution across board center.
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left_ratio
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Fraction of holds on left.
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symmetry_score
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Symmetry measure (1 = perfectly balanced).
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hand_left_ratio, hand_symmetry
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Same but for hand holds.
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--------------------------------------------------
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7. VERTICAL DISTRIBUTION
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--------------------------------------------------
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upper_holds, lower_holds
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Split around median height.
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upper_ratio
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Proportion of upper holds.
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--------------------------------------------------
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8. REACH / DISTANCE FEATURES
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--------------------------------------------------
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max_hand_reach, mean_hand_reach, std_hand_reach
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Distances between hand holds.
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hand_spread_x, hand_spread_y
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Spatial extent of hand holds.
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max_foot_spread, mean_foot_spread
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Foot hold spacing.
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max_hand_to_foot, mean_hand_to_foot
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Hand-foot distances.
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--------------------------------------------------
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9. HOLD DIFFICULTY FEATURES
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--------------------------------------------------
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mean_hold_difficulty
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Average difficulty of holds.
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max_hold_difficulty / min_hold_difficulty
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Extremes.
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std_hold_difficulty
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Variation.
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median_hold_difficulty
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Central tendency.
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difficulty_range
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Spread.
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mean_hand_difficulty / mean_foot_difficulty
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Role-specific difficulty.
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start_difficulty / finish_difficulty
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Entry and exit difficulty.
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--------------------------------------------------
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10. COMBINED / INTERACTION FEATURES
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--------------------------------------------------
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hand_foot_ratio
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Balance of hands vs feet.
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movement_density
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Holds per vertical distance.
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weighted_difficulty
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Height-weighted difficulty.
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difficulty_gradient
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Difference between start and finish difficulty.
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--------------------------------------------------
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11. SHAPE / GEOMETRY FEATURES
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--------------------------------------------------
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convex_hull_area
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Area of convex hull around holds.
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convex_hull_perimeter
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Perimeter.
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hull_area_to_bbox_ratio
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Compactness.
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--------------------------------------------------
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12. NEAREST-NEIGHBOR FEATURES
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--------------------------------------------------
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min_nn_distance / mean_nn_distance
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Spacing between holds.
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max_nn_distance
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Maximum separation.
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std_nn_distance
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Spread.
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--------------------------------------------------
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13. CLUSTERING FEATURES
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--------------------------------------------------
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mean_neighbors_12in
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Average nearby holds within 12 inches.
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max_neighbors_12in
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Max clustering.
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clustering_ratio
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Normalized clustering.
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--------------------------------------------------
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14. PATH FEATURES
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--------------------------------------------------
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path_length_vertical
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Estimated movement path length.
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path_efficiency
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Vertical gain vs path length.
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--------------------------------------------------
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15. REGIONAL DIFFICULTY FEATURES
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--------------------------------------------------
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lower_region_difficulty
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Bottom third difficulty.
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middle_region_difficulty
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Middle third difficulty.
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upper_region_difficulty
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Top third difficulty.
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difficulty_progression
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Change in difficulty from bottom to top.
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--------------------------------------------------
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16. DIFFICULTY TRANSITIONS
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--------------------------------------------------
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max_difficulty_jump
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Largest jump between moves.
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mean_difficulty_jump
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Average jump.
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difficulty_weighted_reach
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Distance weighted by difficulty.
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--------------------------------------------------
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17. NORMALIZED FEATURES
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--------------------------------------------------
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mean_x_normalized, mean_y_normalized
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Relative board position.
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std_x_normalized, std_y_normalized
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Normalized spread.
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start_height_normalized, finish_height_normalized
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Relative heights.
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spread_x_normalized, spread_y_normalized
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Coverage.
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--------------------------------------------------
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18. RELATIVE POSITION FEATURES
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--------------------------------------------------
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start_offset_from_typical
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Deviation from typical start height.
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finish_offset_from_typical
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Deviation from typical finish height.
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mean_y_relative_to_start
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Average height relative to start.
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max_y_relative_to_start
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Highest point relative to start.
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--------------------------------------------------
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19. DISTRIBUTION FEATURES
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--------------------------------------------------
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y_q25, y_q50, y_q75
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Height quartiles.
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y_iqr
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Spread.
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holds_bottom_quartile
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Lower density.
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holds_top_quartile
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Upper density.
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--------------------------------------------------
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SUMMARY
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--------------------------------------------------
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These features capture:
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- Geometry (shape, spread)
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- Movement (reach, density, path)
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- Difficulty (hold-based + progression)
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- Symmetry and balance
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- Spatial distribution
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Together they allow the model to approximate both:
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- physical movement complexity
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- and hold difficulty structure of a climb.
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