Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.594  0.083  0.152  0.6048  0.0714  0.20
Anderszewski 2003   24  0.5219  0.0134  0.0835  0.3275  0.0341  0.10
Ashkenazy 1981   5  0.581  0.201  0.203  0.6015  0.452  0.52
Bacha 2000   67  0.3779  0.0067  0.0565  0.0587  0.0360  0.04
Badura 1965   43  0.4727  0.0045  0.0846  0.0851  0.0647  0.07
Barbosa 1983   75  0.3382  0.0068  0.0661  0.0678  0.0454  0.05
Biret 1990   40  0.4843  0.0042  0.0840  0.2482  0.0346  0.08
Blet 2003   58  0.4223  0.0160  0.0564  0.0580  0.0366  0.04
Block 1995   32  0.5074  0.0033  0.0731  0.3871  0.0436  0.12
Blumental 1952   59  0.4128  0.0040  0.0843  0.1774  0.0445  0.08
Boshniakovich 1969   8  0.5737  0.007  0.159  0.5343  0.1112  0.24
Brailowsky 1960   31  0.5017  0.0135  0.0932  0.3622  0.458  0.40
Bunin 1987   11  0.568  0.0313  0.0911  0.514  0.543  0.52
Bunin 1987b   16  0.5316  0.0122  0.0720  0.486  0.504  0.49
Chiu 1999   65  0.4066  0.0063  0.0660  0.0685  0.0361  0.04
Cohen 1997   87  0.1770  0.0087  0.0379  0.0371  0.0383  0.03
Cortot 1951   48  0.4453  0.0053  0.0652  0.0654  0.0558  0.05
Csalog 1996   86  0.2683  0.0083  0.0476  0.0467  0.0465  0.04
Czerny 1949   25  0.5169  0.0037  0.0641  0.2373  0.0442  0.10
Czerny 1990   60  0.4187  0.0066  0.0567  0.0571  0.0471  0.04
Duchoud 2007   68  0.3740  0.0058  0.0563  0.0567  0.0468  0.04
Ezaki 2006   45  0.4746  0.0052  0.0751  0.0786  0.0349  0.05
Falvay 1989   83  0.3090  0.0086  0.0380  0.0380  0.0375  0.03
Farrell 1958   77  0.3284  0.0076  0.0383  0.0383  0.0379  0.03
Ferenczy 1958   57  0.4231  0.0047  0.0655  0.0658  0.0455  0.05
Fliere 1977   12  0.5529  0.0014  0.0910  0.5178  0.0427  0.14
Fou 1978   29  0.5025  0.0136  0.0736  0.3279  0.0438  0.11
Francois 1956   78  0.3285  0.0078  0.0475  0.0482  0.0386  0.03
Friedman 1923   26  0.5177  0.0024  0.0826  0.4530  0.3610  0.40
Friedman 1923b   28  0.5111  0.0220  0.0723  0.4632  0.367  0.41
Friedman 1930   27  0.5156  0.0026  0.0724  0.4631  0.376  0.41
Garcia 2007   51  0.4380  0.0059  0.0659  0.0650  0.0556  0.05
Garcia 2007b   46  0.4551  0.0051  0.0750  0.0771  0.0459  0.05
Gierzod 1998   19  0.5233  0.0019  0.0721  0.4660  0.0430  0.14
Gornostaeva 1994   54  0.4354  0.0056  0.0568  0.0574  0.0370  0.04
Groot 1988   23  0.5218  0.0125  0.0825  0.4544  0.0915  0.20
Harasiewicz 1955   4  0.5812  0.025  0.184  0.5758  0.0522  0.17
Hatto 1993   42  0.4847  0.0027  0.0914  0.5058  0.0524  0.16
Hatto 1997   34  0.4915  0.0128  0.0917  0.4964  0.0429  0.14
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   37  0.4975  0.0029  0.1115  0.5063  0.0428  0.14
Kapell 1951   52  0.4330  0.0062  0.0654  0.0683  0.0363  0.04
Kissin 1993   18  0.5320  0.0123  0.0728  0.4555  0.0623  0.16
Kushner 1989   55  0.4345  0.0064  0.0662  0.0666  0.0453  0.05
Luisada 1991   15  0.5421  0.0117  0.137  0.5451  0.0617  0.18
Lushtak 2004   62  0.4057  0.0061  0.0656  0.0685  0.0369  0.04
Malcuzynski 1961   30  0.5013  0.0230  0.1029  0.4451  0.0525  0.15
Magaloff 1978   61  0.4172  0.0065  0.0847  0.0872  0.0448  0.06
Magin 1975   17  0.5342  0.0021  0.0830  0.4255  0.0431  0.13
Michalowski 1933   47  0.4424  0.0144  0.0844  0.1547  0.0839  0.11
Milkina 1970   20  0.523  0.119  0.1027  0.4573  0.0432  0.13
Mohovich 1999   41  0.4855  0.0041  0.0839  0.2452  0.0637  0.12
Moravec 1969   71  0.3659  0.0075  0.0478  0.0484  0.0373  0.03
Morozova 2008   36  0.4936  0.0043  0.0842  0.1867  0.0444  0.08
Neighaus 1950   21  0.5239  0.0015  0.1022  0.4640  0.1313  0.24
Niedzielski 1931   49  0.445  0.0532  0.1134  0.3343  0.1116  0.19
Ohlsson 1999   44  0.4786  0.0031  0.1033  0.3477  0.0435  0.12
Osinska 1989   39  0.4858  0.0046  0.0848  0.0879  0.0351  0.05
Pachmann 1927   79  0.3265  0.0085  0.0386  0.0386  0.0287  0.02
Paderewski 1930   72  0.3460  0.0077  0.0382  0.0386  0.0380  0.03
Perlemuter 1992   33  0.4961  0.0048  0.0749  0.0773  0.0350  0.05
Pierdomenico 2008   73  0.3467  0.0071  0.0470  0.0481  0.0376  0.03
Poblocka 1999   13  0.5552  0.0012  0.1113  0.5046  0.0620  0.17
Rabcewiczowa 1932   66  0.3944  0.0069  0.0477  0.0477  0.0378  0.03
Rachmaninoff 1923   9  0.5610  0.028  0.145  0.5648  0.0618  0.18
Rangell 2001   74  0.3368  0.0070  0.0474  0.0481  0.0384  0.03
Richter 1976   1  0.607  0.034  0.188  0.5417  0.521  0.53
Rosen 1989   56  0.4276  0.0049  0.0657  0.0672  0.0557  0.05
Rosenthal 1930   53  0.4334  0.0054  0.0653  0.0642  0.1743  0.10
Rosenthal 1931   76  0.3349  0.0079  0.0471  0.0479  0.0381  0.03
Rosenthal 1931b   81  0.3262  0.0080  0.0288  0.0277  0.0389  0.02
Rosenthal 1931c   82  0.3150  0.0081  0.0381  0.0387  0.0290  0.02
Rosenthal 1931d   80  0.3263  0.0082  0.0569  0.0568  0.0472  0.04
Rossi 2007   85  0.2971  0.0084  0.0287  0.0275  0.0474  0.03
Rubinstein 1939   69  0.3732  0.0072  0.0473  0.0487  0.0377  0.03
Rubinstein 1952   84  0.2926  0.0074  0.0384  0.0369  0.0485  0.03
Rubinstein 1966   63  0.4022  0.0155  0.0566  0.0575  0.0467  0.04
Schilhawsky 1960   3  0.592  0.182  0.211  0.6129  0.405  0.49
Shebanova 2002   22  0.5235  0.0010  0.0919  0.4865  0.0526  0.15
Smith 1975   50  0.4378  0.0057  0.0658  0.0685  0.0362  0.04
Sokolov 2002   64  0.4088  0.0050  0.0845  0.0881  0.0352  0.05
Sztompka 1959   10  0.5648  0.0016  0.1018  0.4856  0.0621  0.17
Tomsic 1995   70  0.3664  0.0073  0.0472  0.0477  0.0464  0.04
Uninsky 1932   6  0.589  0.0211  0.1012  0.5138  0.2811  0.38
Uninsky 1971   7  0.5814  0.016  0.206  0.5532  0.299  0.40
Wasowski 1980   14  0.546  0.0418  0.0716  0.4958  0.0619  0.17
Zak 1937   35  0.4941  0.0039  0.0838  0.2681  0.0440  0.10
Zak 1951   38  0.4838  0.0038  0.0637  0.2760  0.0534  0.12
Random 1   89  -0.1089  0.0089  0.0289  0.0249  0.0482  0.03
Random 2   88  0.0373  0.0088  0.0385  0.034  0.5533  0.13
Random 3   90  -0.1281  0.0090  0.0190  0.0165  0.0488  0.02

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).