Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.7034  0.0017  0.1020  0.4325  0.3425  0.38
Anderszewski 2003   36  0.6217  0.0122  0.0837  0.2516  0.3436  0.29
Ashkenazy 1981   40  0.6124  0.0127  0.0923  0.4028  0.2933  0.34
Bacha 2000   80  0.4081  0.0072  0.0473  0.0483  0.0380  0.03
Badura 1965   34  0.6231  0.0028  0.0933  0.3216  0.3830  0.35
Barbosa 1983   64  0.5037  0.0065  0.0468  0.0440  0.1459  0.07
Biret 1990   58  0.5416  0.0144  0.0644  0.1250  0.0656  0.08
Blet 2003   22  0.6761  0.0035  0.1028  0.3619  0.3331  0.34
Block 1995   69  0.4826  0.0148  0.0747  0.0737  0.1552  0.10
Blumental 1952   76  0.4441  0.0055  0.0471  0.0449  0.0476  0.04
Boshniakovich 1969   35  0.6227  0.0143  0.0743  0.1520  0.3639  0.23
Brailowsky 1960   72  0.4666  0.0074  0.0382  0.0345  0.0762  0.05
Bunin 1987   10  0.6912  0.029  0.1314  0.453  0.5710  0.51
Bunin 1987b   15  0.699  0.048  0.1012  0.453  0.578  0.51
Chiu 1999   75  0.4436  0.0066  0.0649  0.0667  0.0371  0.04
Cohen 1997   87  0.2468  0.0085  0.0385  0.0353  0.0578  0.04
Cortot 1951   9  0.7059  0.0019  0.1515  0.455  0.615  0.52
Csalog 1996   78  0.4373  0.0073  0.0470  0.0468  0.0475  0.04
Czerny 1949   3  0.766  0.054  0.194  0.5311  0.509  0.51
Czerny 1990   16  0.6848  0.0034  0.0832  0.3238  0.1441  0.21
Duchoud 2007   44  0.6045  0.0033  0.0735  0.2710  0.4232  0.34
Ezaki 2006   19  0.6832  0.0032  0.0627  0.3638  0.1637  0.24
Falvay 1989   82  0.4074  0.0084  0.0386  0.0372  0.0482  0.03
Farrell 1958   56  0.5513  0.0262  0.0464  0.0451  0.0665  0.05
Ferenczy 1958   29  0.6355  0.0037  0.0734  0.297  0.4429  0.36
Fliere 1977   1  0.7718  0.015  0.1510  0.5017  0.4016  0.45
Fou 1978   67  0.4983  0.0068  0.0376  0.0350  0.0573  0.04
Francois 1956   45  0.5969  0.0060  0.0557  0.0545  0.0568  0.05
Friedman 1923   65  0.5033  0.0049  0.0552  0.0514  0.4547  0.15
Friedman 1923b   62  0.5175  0.0046  0.0746  0.0713  0.4643  0.18
Friedman 1930   46  0.5829  0.0045  0.0945  0.0916  0.4242  0.19
Garcia 2007   55  0.5560  0.0041  0.0741  0.175  0.5335  0.30
Garcia 2007b   81  0.4079  0.0064  0.0650  0.0624  0.2051  0.11
Gierzod 1998   4  0.748  0.046  0.115  0.5311  0.4612  0.49
Gornostaeva 1994   59  0.5357  0.0071  0.0467  0.0476  0.0387  0.03
Groot 1988   48  0.5849  0.0059  0.0461  0.0448  0.0579  0.04
Harasiewicz 1955   13  0.6921  0.0112  0.096  0.5213  0.4413  0.48
Hatto 1993   50  0.5714  0.0214  0.1129  0.369  0.5719  0.45
Hatto 1997   41  0.6019  0.0111  0.0921  0.425  0.5314  0.47
Horowitz 1949   14  0.697  0.0420  0.099  0.503  0.643  0.57
Indjic 1988   47  0.5823  0.0113  0.0926  0.367  0.5717  0.45
Kapell 1951   5  0.7422  0.013  0.147  0.513  0.517  0.51
Kissin 1993   31  0.633  0.0736  0.0739  0.2228  0.2438  0.23
Kushner 1989   30  0.6353  0.0051  0.0555  0.0554  0.0566  0.05
Luisada 1991   53  0.5667  0.0056  0.0472  0.0456  0.0470  0.04
Lushtak 2004   20  0.675  0.0510  0.1213  0.4515  0.3524  0.40
Malcuzynski 1961   32  0.6277  0.0047  0.0648  0.0630  0.1949  0.11
Magaloff 1978   60  0.5330  0.0063  0.0559  0.0558  0.0563  0.05
Magin 1975   52  0.5647  0.0042  0.0842  0.1636  0.1546  0.15
Michalowski 1933   42  0.6051  0.0025  0.0822  0.426  0.5015  0.46
Milkina 1970   61  0.5343  0.0069  0.0465  0.0447  0.0667  0.05
Mohovich 1999   51  0.5788  0.0054  0.0554  0.0566  0.0477  0.04
Moravec 1969   68  0.4964  0.0078  0.0475  0.0453  0.0469  0.04
Morozova 2008   33  0.6263  0.0038  0.0836  0.2636  0.1740  0.21
Neighaus 1950   17  0.6820  0.0115  0.088  0.5014  0.4018  0.45
Niedzielski 1931   26  0.6510  0.0321  0.1018  0.443  0.596  0.51
Ohlsson 1999   23  0.6658  0.0026  0.0816  0.4417  0.3923  0.41
Osinska 1989   37  0.6162  0.0052  0.0558  0.0555  0.0561  0.05
Pachmann 1927   66  0.4956  0.0067  0.0474  0.0438  0.1258  0.07
Paderewski 1930   49  0.5780  0.0057  0.0469  0.0432  0.1853  0.08
Perlemuter 1992   24  0.6625  0.0130  0.0931  0.3312  0.4126  0.37
Pierdomenico 2008   79  0.4178  0.0081  0.0383  0.0373  0.0383  0.03
Poblocka 1999   2  0.771  0.201  0.201  0.614  0.552  0.58
Rabcewiczowa 1932   54  0.5546  0.0061  0.0553  0.0546  0.0564  0.05
Rachmaninoff 1923   25  0.6544  0.0031  0.0730  0.3413  0.4027  0.37
Rangell 2001   84  0.3584  0.0079  0.0381  0.0358  0.0488  0.03
Richter 1976   7  0.714  0.067  0.122  0.552  0.641  0.59
Rosen 1989   63  0.5154  0.0070  0.0463  0.0484  0.0386  0.03
Rosenthal 1930   43  0.6039  0.0050  0.0651  0.0613  0.4745  0.17
Rosenthal 1931   71  0.4676  0.0077  0.0460  0.0432  0.1854  0.08
Rosenthal 1931b   74  0.4582  0.0075  0.0378  0.0330  0.2157  0.08
Rosenthal 1931c   57  0.5511  0.0258  0.0462  0.0424  0.3250  0.11
Rosenthal 1931d   77  0.4415  0.0176  0.0377  0.0335  0.1660  0.07
Rossi 2007   86  0.2972  0.0087  0.0384  0.0371  0.0481  0.03
Rubinstein 1939   85  0.3285  0.0086  0.0388  0.0379  0.0384  0.03
Rubinstein 1952   83  0.3635  0.0083  0.0380  0.0378  0.0489  0.03
Rubinstein 1966   70  0.4752  0.0080  0.0379  0.0380  0.0485  0.03
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   38  0.6128  0.0039  0.0740  0.2241  0.1344  0.17
Smith 1975   39  0.6138  0.0053  0.0556  0.0565  0.0472  0.04
Sokolov 2002   27  0.6486  0.0029  0.1224  0.3911  0.4620  0.42
Sztompka 1959   12  0.6965  0.0023  0.0725  0.3921  0.3628  0.37
Tomsic 1995   73  0.4589  0.0082  0.0466  0.0464  0.0474  0.04
Uninsky 1932   21  0.6750  0.0016  0.0817  0.447  0.5611  0.50
Uninsky 1971   6  0.732  0.142  0.183  0.553  0.594  0.57
Wasowski 1980   28  0.6440  0.0040  0.0838  0.2511  0.3834  0.31
Zak 1937   18  0.6842  0.0024  0.0819  0.4420  0.3922  0.41
Zak 1951   11  0.6970  0.0018  0.1211  0.4616  0.3821  0.42
Random 1   89  -0.0671  0.0089  0.0289  0.0223  0.3455  0.08
Random 2   88  -0.0387  0.0088  0.0387  0.038  0.4648  0.12
Random 3   90  -0.1690  0.0090  0.0190  0.0189  0.0190  0.01

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).