Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.812  0.122  0.153  0.607  0.523  0.56
Anderszewski 2003   43  0.6150  0.0039  0.0643  0.1337  0.2141  0.17
Ashkenazy 1981   64  0.5243  0.0033  0.0531  0.2725  0.2834  0.27
Bacha 2000   84  0.3560  0.0066  0.0553  0.0547  0.0663  0.05
Badura 1965   29  0.6744  0.0023  0.0523  0.3612  0.5319  0.44
Barbosa 1983   86  0.2865  0.0076  0.0385  0.0373  0.0385  0.03
Biret 1990   68  0.4861  0.0065  0.0650  0.0654  0.0568  0.05
Blet 2003   24  0.6968  0.0047  0.0747  0.0714  0.3845  0.16
Block 1995   41  0.6238  0.0050  0.0560  0.0527  0.1954  0.10
Blumental 1952   72  0.4428  0.0130  0.0533  0.2321  0.2138  0.22
Boshniakovich 1969   10  0.7825  0.0116  0.1515  0.479  0.5511  0.51
Brailowsky 1960   80  0.4232  0.0074  0.0476  0.0455  0.0470  0.04
Bunin 1987   44  0.5986  0.0038  0.0640  0.1613  0.4735  0.27
Bunin 1987b   48  0.5971  0.0037  0.0639  0.1613  0.4733  0.27
Chiu 1999   81  0.3869  0.0062  0.0562  0.0563  0.0371  0.04
Cohen 1997   88  0.1581  0.0077  0.0382  0.0357  0.0488  0.03
Cortot 1951   30  0.6651  0.0031  0.0534  0.2320  0.4131  0.31
Csalog 1996   49  0.5926  0.0144  0.0545  0.118  0.4337  0.22
Czerny 1949   12  0.7682  0.0014  0.1412  0.4920  0.4713  0.48
Czerny 1990   36  0.6474  0.0053  0.0467  0.0479  0.0389  0.03
Duchoud 2007   65  0.5077  0.0055  0.0469  0.0424  0.2653  0.10
Ezaki 2006   42  0.6124  0.0157  0.0554  0.0543  0.0858  0.06
Falvay 1989   85  0.3529  0.0087  0.0384  0.0355  0.0673  0.04
Farrell 1958   79  0.4231  0.0072  0.0378  0.0383  0.0384  0.03
Ferenczy 1958   21  0.7018  0.0127  0.0622  0.372  0.5517  0.45
Fliere 1977   4  0.814  0.074  0.171  0.616  0.484  0.54
Fou 1978   45  0.5948  0.0041  0.0738  0.1729  0.2139  0.19
Francois 1956   63  0.5566  0.0067  0.0748  0.0750  0.0562  0.06
Friedman 1923   50  0.5878  0.0056  0.0564  0.0537  0.3348  0.13
Friedman 1923b   51  0.5888  0.0054  0.0466  0.0437  0.3351  0.11
Friedman 1930   56  0.5880  0.0064  0.0561  0.0544  0.1555  0.09
Garcia 2007   26  0.6856  0.0032  0.0530  0.2922  0.3629  0.32
Garcia 2007b   32  0.6672  0.0024  0.0528  0.3425  0.3525  0.34
Gierzod 1998   6  0.807  0.059  0.214  0.5611  0.517  0.53
Gornostaeva 1994   52  0.5875  0.0068  0.0649  0.0650  0.0661  0.06
Groot 1988   73  0.4453  0.0070  0.0555  0.0561  0.0569  0.05
Harasiewicz 1955   17  0.7322  0.0110  0.118  0.548  0.508  0.52
Hatto 1993   55  0.5816  0.0136  0.1227  0.3423  0.3030  0.32
Hatto 1997   47  0.5955  0.0034  0.0625  0.3421  0.3328  0.33
Horowitz 1949   20  0.7076  0.0025  0.0629  0.329  0.5221  0.41
Indjic 1988   46  0.5973  0.0035  0.0924  0.3421  0.3327  0.33
Kapell 1951   13  0.763  0.105  0.1510  0.524  0.4512  0.48
Kissin 1993   3  0.815  0.068  0.155  0.556  0.545  0.54
Kushner 1989   18  0.7110  0.0226  0.0632  0.2528  0.3032  0.27
Luisada 1991   40  0.6235  0.0049  0.0552  0.0554  0.0664  0.05
Lushtak 2004   61  0.5654  0.0040  0.0637  0.1733  0.1742  0.17
Malcuzynski 1961   53  0.5812  0.0263  0.0565  0.0544  0.1356  0.08
Magaloff 1978   77  0.4357  0.0081  0.0287  0.0269  0.0483  0.03
Magin 1975   16  0.7413  0.0219  0.0819  0.4219  0.4020  0.41
Michalowski 1933   15  0.7421  0.0118  0.1916  0.465  0.579  0.51
Milkina 1970   34  0.6414  0.0251  0.0651  0.0659  0.0467  0.05
Mohovich 1999   54  0.5833  0.0043  0.0641  0.1440  0.2143  0.17
Moravec 1969   78  0.4367  0.0083  0.0288  0.0268  0.0481  0.03
Morozova 2008   28  0.6745  0.0028  0.0635  0.2328  0.2736  0.25
Neighaus 1950   23  0.7017  0.0112  0.1011  0.4914  0.4615  0.47
Niedzielski 1931   25  0.6883  0.0046  0.0563  0.0535  0.2549  0.11
Ohlsson 1999   39  0.628  0.0413  0.1117  0.4512  0.4616  0.45
Osinska 1989   27  0.6746  0.0029  0.0536  0.1944  0.1344  0.16
Pachmann 1927   38  0.6341  0.0060  0.0556  0.057  0.4646  0.15
Paderewski 1930   60  0.5749  0.0052  0.0472  0.0430  0.2452  0.10
Perlemuter 1992   35  0.6470  0.0022  0.0526  0.3418  0.3326  0.33
Pierdomenico 2008   76  0.4359  0.0073  0.0379  0.0348  0.0674  0.04
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   58  0.5737  0.0061  0.0557  0.0551  0.0566  0.05
Rachmaninoff 1923   57  0.5779  0.0058  0.0473  0.0457  0.0472  0.04
Rangell 2001   74  0.4427  0.0171  0.0559  0.0543  0.1357  0.08
Richter 1976   8  0.7911  0.0211  0.1014  0.471  0.672  0.56
Rosen 1989   31  0.6640  0.0048  0.0558  0.0545  0.0760  0.06
Rosenthal 1930   33  0.6562  0.0059  0.0468  0.0413  0.3350  0.11
Rosenthal 1931   67  0.4887  0.0084  0.0386  0.0376  0.0486  0.03
Rosenthal 1931b   69  0.4789  0.0085  0.0377  0.0358  0.0579  0.04
Rosenthal 1931c   66  0.5042  0.0075  0.0381  0.0369  0.0490  0.03
Rosenthal 1931d   70  0.4784  0.0086  0.0475  0.0458  0.0578  0.04
Rossi 2007   87  0.2752  0.0088  0.0474  0.0479  0.0382  0.03
Rubinstein 1939   75  0.4334  0.0078  0.0380  0.0351  0.0675  0.04
Rubinstein 1952   83  0.3623  0.0180  0.0471  0.0465  0.0580  0.04
Rubinstein 1966   82  0.3736  0.0079  0.0470  0.0467  0.0477  0.04
Schilhawsky 1960   2  0.841  0.141  0.146  0.554  0.601  0.57
Shebanova 2002   9  0.799  0.036  0.172  0.608  0.486  0.54
Smith 1975   59  0.5739  0.0069  0.0746  0.0773  0.0465  0.05
Sokolov 2002   62  0.5530  0.0045  0.0644  0.1223  0.2840  0.18
Sztompka 1959   14  0.7420  0.0115  0.1313  0.4814  0.4118  0.44
Tomsic 1995   71  0.4558  0.0082  0.0383  0.0357  0.0676  0.04
Uninsky 1932   7  0.8063  0.0017  0.2018  0.4410  0.5014  0.47
Uninsky 1971   1  0.856  0.053  0.189  0.544  0.4910  0.51
Wasowski 1980   37  0.6419  0.0142  0.0642  0.1438  0.1347  0.13
Zak 1937   19  0.7147  0.0020  0.0720  0.4219  0.3123  0.36
Zak 1951   22  0.7064  0.0021  0.0521  0.4120  0.3024  0.35
Average   11  0.7715  0.027  0.177  0.5533  0.2522  0.37
Random 1   89  -0.1485  0.0090  0.0190  0.0144  0.0987  0.03
Random 2   90  -0.1590  0.0089  0.0289  0.0228  0.1859  0.06
Random 3   91  -0.2391  0.0091  0.0191  0.0158  0.0491  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).