Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.4233  0.0063  0.0376  0.0329  0.3166  0.10
Anderszewski 2003   19  0.5114  0.018  0.159  0.5613  0.579  0.56
Ashkenazy 1981   50  0.4371  0.0059  0.0660  0.0618  0.4256  0.16
Bacha 2000   72  0.3575  0.0075  0.0373  0.0368  0.0385  0.03
Badura 1965   58  0.4154  0.0054  0.0846  0.0818  0.4347  0.19
Barbosa 1983   18  0.5223  0.0015  0.1114  0.4620  0.4919  0.47
Biret 1990   23  0.5050  0.0020  0.0817  0.4223  0.4324  0.42
Blet 2003   35  0.4835  0.0049  0.0562  0.054  0.5355  0.16
Block 1995   88  0.2667  0.0077  0.0378  0.0380  0.0488  0.03
Blumental 1952   53  0.4382  0.0060  0.0658  0.0651  0.0678  0.06
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   73  0.3586  0.0076  0.0382  0.0358  0.0681  0.04
Bunin 1987   43  0.4617  0.0144  0.0544  0.1110  0.5241  0.24
Bunin 1987b   45  0.4543  0.0051  0.0657  0.0612  0.5052  0.17
Chiu 1999   77  0.3473  0.0082  0.0467  0.0452  0.0679  0.05
Cohen 1997   74  0.3569  0.0071  0.0468  0.0421  0.2767  0.10
Cortot 1951   86  0.2764  0.0070  0.0371  0.0340  0.2373  0.08
Csalog 1996   38  0.4720  0.0045  0.0545  0.0922  0.3453  0.17
Czerny 1949   6  0.5816  0.017  0.238  0.5918  0.667  0.62
Czerny 1990   11  0.5458  0.0013  0.1312  0.5126  0.5910  0.55
Duchoud 2007   76  0.3412  0.0184  0.0372  0.0341  0.2371  0.08
Ezaki 2006   57  0.4179  0.0062  0.0653  0.0656  0.0674  0.06
Falvay 1989   36  0.4836  0.0019  0.0722  0.3739  0.3526  0.36
Farrell 1958   68  0.3965  0.0067  0.0469  0.0449  0.0877  0.06
Ferenczy 1958   67  0.3983  0.0072  0.0374  0.0335  0.2869  0.09
Fliere 1977   16  0.535  0.0114  0.1113  0.5014  0.5115  0.50
Fou 1978   26  0.5030  0.0036  0.0631  0.2721  0.4031  0.33
Francois 1956   60  0.4022  0.0065  0.0384  0.0317  0.4064  0.11
Friedman 1923   78  0.3487  0.0073  0.0464  0.0417  0.5159  0.14
Friedman 1923b   75  0.3484  0.0074  0.0651  0.0619  0.4654  0.17
Friedman 1930   70  0.3831  0.0064  0.0379  0.0333  0.2568  0.09
Garcia 2007   63  0.4029  0.0053  0.0748  0.0718  0.4946  0.19
Garcia 2007b   66  0.3976  0.0048  0.0655  0.0625  0.4157  0.16
Gierzod 1998   2  0.642  0.083  0.393  0.7211  0.603  0.66
Gornostaeva 1994   7  0.578  0.014  0.166  0.622  0.714  0.66
Groot 1988   64  0.4019  0.0061  0.0747  0.0744  0.1072  0.08
Harasiewicz 1955   9  0.5727  0.0010  0.1411  0.5318  0.5711  0.55
Hatto 1993   40  0.4624  0.0032  0.0834  0.2531  0.3335  0.29
Hatto 1997   41  0.4647  0.0028  0.0729  0.2932  0.3533  0.32
Horowitz 1949   82  0.3132  0.0079  0.0387  0.0327  0.3165  0.10
Indjic 1988   39  0.4688  0.0031  0.0632  0.2729  0.3434  0.30
Kapell 1951   30  0.4944  0.0042  0.0442  0.1336  0.3543  0.21
Kissin 1993   13  0.5345  0.0016  0.1115  0.4411  0.6212  0.52
Kushner 1989   3  0.623  0.082  0.382  0.746  0.662  0.70
Luisada 1991   32  0.4813  0.0143  0.0443  0.1120  0.4742  0.23
Lushtak 2004   52  0.4374  0.0046  0.0563  0.0538  0.2663  0.11
Malcuzynski 1961   5  0.596  0.016  0.185  0.659  0.625  0.63
Magaloff 1978   49  0.4459  0.0052  0.0652  0.0634  0.3061  0.13
Magin 1975   10  0.5615  0.0111  0.1216  0.438  0.6113  0.51
Michalowski 1933   80  0.3228  0.0083  0.0470  0.0412  0.4958  0.14
Milkina 1970   4  0.594  0.025  0.234  0.6715  0.576  0.62
Mohovich 1999   46  0.4572  0.0033  0.0635  0.2434  0.2640  0.25
Moravec 1969   37  0.477  0.0129  0.0628  0.2925  0.3930  0.34
Morozova 2008   17  0.5346  0.0017  0.0718  0.415  0.6216  0.50
Neighaus 1950   42  0.4648  0.0050  0.0661  0.065  0.5948  0.19
Niedzielski 1931   79  0.3366  0.0081  0.0375  0.0340  0.1375  0.06
Ohlsson 1999   34  0.4855  0.0035  0.0740  0.1422  0.4339  0.25
Osinska 1989   8  0.5726  0.009  0.177  0.6119  0.598  0.60
Pachmann 1927   48  0.4434  0.0058  0.0654  0.061  0.6645  0.20
Paderewski 1930   61  0.4060  0.0057  0.0659  0.062  0.6744  0.20
Perlemuter 1992   69  0.3868  0.0069  0.0383  0.0324  0.3762  0.11
Pierdomenico 2008   54  0.4261  0.0056  0.0650  0.0613  0.5450  0.18
Poblocka 1999   51  0.4339  0.0030  0.0838  0.1942  0.1749  0.18
Rabcewiczowa 1932   59  0.4025  0.0055  0.0749  0.0753  0.0576  0.06
Rachmaninoff 1923   84  0.3089  0.0080  0.0386  0.0377  0.0386  0.03
Rangell 2001   47  0.4442  0.0047  0.0656  0.0615  0.5251  0.18
Richter 1976   21  0.5062  0.0026  0.0725  0.3317  0.5923  0.44
Rosen 1989   14  0.539  0.0124  0.0727  0.2919  0.4528  0.36
Rosenthal 1930   83  0.3077  0.0087  0.0288  0.0274  0.0391  0.02
Rosenthal 1931   81  0.3185  0.0085  0.0466  0.0468  0.0482  0.04
Rosenthal 1931b   85  0.3070  0.0086  0.0377  0.0373  0.0490  0.03
Rosenthal 1931c   71  0.3738  0.0078  0.0385  0.0352  0.0780  0.05
Rosenthal 1931d   87  0.2780  0.0088  0.0381  0.0370  0.0489  0.03
Rossi 2007   65  0.3978  0.0068  0.0465  0.0422  0.4060  0.13
Rubinstein 1939   22  0.5021  0.0038  0.0833  0.2618  0.4927  0.36
Rubinstein 1952   28  0.4963  0.0023  0.0726  0.3235  0.2636  0.29
Rubinstein 1966   15  0.5349  0.0012  0.1210  0.5425  0.4914  0.51
Schilhawsky 1960   20  0.5118  0.0034  0.0637  0.2119  0.4932  0.32
Shebanova 2002   56  0.4156  0.0066  0.0380  0.0354  0.0583  0.04
Smith 1975   29  0.4911  0.0118  0.0823  0.358  0.6020  0.46
Sokolov 2002   12  0.5410  0.0127  0.0824  0.335  0.6718  0.47
Sztompka 1959   33  0.4840  0.0039  0.0836  0.2220  0.5529  0.35
Tomsic 1995   44  0.4541  0.0040  0.0739  0.1521  0.4138  0.25
Uninsky 1932   62  0.4051  0.0041  0.0541  0.1315  0.6137  0.28
Uninsky 1971   31  0.4857  0.0037  0.0830  0.2817  0.5225  0.38
Wasowski 1980   25  0.5037  0.0021  0.0720  0.3812  0.5422  0.45
Zak 1937   27  0.5052  0.0025  0.0721  0.3714  0.5821  0.46
Zak 1951   24  0.5081  0.0022  0.0819  0.3915  0.5817  0.48
Average   1  0.711  0.631  0.631  0.8716  0.651  0.75
Random 1   91  -0.0290  0.0090  0.0190  0.0142  0.1584  0.04
Random 2   90  0.0053  0.0091  0.0191  0.0140  0.1187  0.03
Random 3   89  0.0191  0.0089  0.0289  0.029  0.4570  0.09

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).