Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6238  0.0030  0.0522  0.3021  0.3026  0.30
Anderszewski 2003   46  0.516  0.039  0.1120  0.3210  0.5116  0.40
Ashkenazy 1981   8  0.625  0.038  0.127  0.5016  0.459  0.47
Bacha 2000   56  0.4877  0.0076  0.0380  0.0338  0.2256  0.08
Badura 1965   64  0.4421  0.0149  0.0556  0.0522  0.3344  0.13
Barbosa 1983   52  0.5039  0.0014  0.0717  0.3718  0.4515  0.41
Biret 1990   11  0.6168  0.0025  0.1119  0.3418  0.4617  0.40
Blet 2003   18  0.6048  0.0019  0.099  0.448  0.4611  0.45
Block 1995   57  0.4853  0.0068  0.0554  0.0535  0.1755  0.09
Blumental 1952   72  0.4058  0.0046  0.0459  0.0422  0.2752  0.10
Boshniakovich 1969   38  0.5424  0.0153  0.0552  0.0536  0.1953  0.10
Brailowsky 1960   45  0.5227  0.0066  0.0553  0.0543  0.1058  0.07
Bunin 1987   40  0.5435  0.0041  0.0437  0.1732  0.2336  0.20
Bunin 1987b   39  0.5441  0.0042  0.0638  0.1732  0.2238  0.19
Chiu 1999   70  0.4047  0.0052  0.0460  0.0438  0.1857  0.08
Cohen 1997   68  0.4220  0.0164  0.0462  0.0416  0.3947  0.12
Cortot 1951   43  0.5237  0.0047  0.0549  0.0518  0.3545  0.13
Csalog 1996   13  0.612  0.142  0.148  0.452  0.605  0.52
Czerny 1949   59  0.4778  0.0067  0.0547  0.0552  0.0568  0.05
Czerny 1990   7  0.6356  0.0015  0.0710  0.4414  0.4513  0.44
Duchoud 2007   5  0.6410  0.025  0.124  0.535  0.516  0.52
Ezaki 2006   6  0.6314  0.0117  0.0713  0.3926  0.2920  0.34
Falvay 1989   28  0.5740  0.0013  0.0724  0.2862  0.0449  0.11
Farrell 1958   48  0.5144  0.0058  0.0464  0.0419  0.3546  0.12
Ferenczy 1958   14  0.6128  0.0022  0.1014  0.395  0.5212  0.45
Fliere 1977   2  0.684  0.043  0.162  0.5717  0.522  0.54
Fou 1978   54  0.4922  0.0160  0.0467  0.0445  0.0766  0.05
Francois 1956   42  0.5350  0.0044  0.0743  0.1339  0.1541  0.14
Friedman 1923   87  0.1970  0.0082  0.0474  0.0450  0.0669  0.05
Friedman 1923b   85  0.2043  0.0081  0.0463  0.0441  0.1161  0.07
Friedman 1930   79  0.3251  0.0062  0.0469  0.0433  0.2751  0.10
Garcia 2007   78  0.3364  0.0077  0.0477  0.0418  0.4243  0.13
Garcia 2007b   83  0.2271  0.0083  0.0470  0.0456  0.0477  0.04
Gierzod 1998   29  0.5761  0.0032  0.0529  0.2416  0.3431  0.29
Gornostaeva 1994   37  0.5454  0.0065  0.0458  0.0468  0.0384  0.03
Groot 1988   10  0.6218  0.0135  0.0535  0.1932  0.2435  0.21
Harasiewicz 1955   77  0.3536  0.0050  0.0546  0.0571  0.0376  0.04
Hatto 1993   74  0.3979  0.0021  0.0731  0.2211  0.4228  0.30
Hatto 1997   61  0.4611  0.0210  0.1027  0.2515  0.4423  0.33
Horowitz 1949   66  0.4360  0.0078  0.0465  0.0472  0.0381  0.03
Indjic 1988   71  0.4072  0.0020  0.0732  0.2211  0.4125  0.30
Kapell 1951   1  0.711  0.341  0.341  0.661  0.571  0.61
Kissin 1993   34  0.5549  0.0055  0.0473  0.0448  0.0667  0.05
Kushner 1989   26  0.5855  0.0051  0.0551  0.0540  0.1554  0.09
Luisada 1991   32  0.567  0.0323  0.0923  0.2917  0.3722  0.33
Lushtak 2004   22  0.5917  0.016  0.115  0.537  0.553  0.54
Malcuzynski 1961   23  0.5812  0.0248  0.0550  0.0545  0.0764  0.06
Magaloff 1978   15  0.6031  0.0036  0.0641  0.1548  0.0750  0.10
Magin 1975   69  0.4123  0.0174  0.0385  0.0368  0.0379  0.03
Michalowski 1933   60  0.4634  0.0016  0.0811  0.434  0.4710  0.45
Milkina 1970   51  0.5085  0.0072  0.0379  0.0369  0.0480  0.03
Mohovich 1999   20  0.6026  0.0034  0.0526  0.2629  0.2532  0.25
Moravec 1969   41  0.5359  0.0054  0.0466  0.0424  0.3048  0.11
Morozova 2008   53  0.4925  0.0143  0.0642  0.1353  0.0460  0.07
Neighaus 1950   31  0.5616  0.0140  0.0834  0.2036  0.1739  0.18
Niedzielski 1931   65  0.4346  0.0075  0.0381  0.0335  0.1263  0.06
Ohlsson 1999   3  0.6715  0.017  0.136  0.5111  0.457  0.48
Osinska 1989   16  0.6069  0.0029  0.0630  0.2314  0.4124  0.31
Pachmann 1927   73  0.3986  0.0071  0.0387  0.0356  0.0575  0.04
Paderewski 1930   12  0.6130  0.0018  0.0818  0.367  0.5214  0.43
Perlemuter 1992   44  0.5219  0.0131  0.0525  0.2624  0.3329  0.29
Pierdomenico 2008   75  0.3882  0.0079  0.0461  0.0468  0.0378  0.03
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   49  0.5080  0.0059  0.0548  0.0526  0.3442  0.13
Rachmaninoff 1923   76  0.3776  0.0063  0.0555  0.0567  0.0471  0.04
Rangell 2001   19  0.609  0.0228  0.0628  0.2517  0.3727  0.30
Richter 1976   35  0.5557  0.0033  0.0533  0.2111  0.4030  0.29
Rosen 1989   24  0.5863  0.0038  0.0540  0.1725  0.3333  0.24
Rosenthal 1930   62  0.4567  0.0073  0.0383  0.0362  0.0483  0.03
Rosenthal 1931   84  0.2283  0.0087  0.0382  0.0378  0.0382  0.03
Rosenthal 1931b   82  0.2387  0.0086  0.0386  0.0381  0.0289  0.02
Rosenthal 1931c   67  0.4288  0.0080  0.0471  0.0463  0.0385  0.03
Rosenthal 1931d   80  0.2973  0.0085  0.0384  0.0382  0.0288  0.02
Rossi 2007   86  0.2065  0.0084  0.0557  0.0564  0.0370  0.04
Rubinstein 1939   81  0.2633  0.0070  0.0478  0.0451  0.0572  0.04
Rubinstein 1952   50  0.5052  0.0069  0.0472  0.0446  0.0865  0.06
Rubinstein 1966   36  0.5529  0.0061  0.0468  0.0440  0.1359  0.07
Schilhawsky 1960   33  0.568  0.0311  0.0912  0.428  0.528  0.47
Shebanova 2002   17  0.6013  0.0126  0.1021  0.3120  0.4019  0.35
Smith 1975   30  0.5774  0.0024  0.1215  0.3824  0.3121  0.34
Sokolov 2002   25  0.5889  0.0045  0.0645  0.0647  0.0662  0.06
Sztompka 1959   4  0.663  0.064  0.113  0.556  0.514  0.53
Tomsic 1995   21  0.5966  0.0039  0.0636  0.1741  0.1540  0.16
Uninsky 1932   63  0.4475  0.0027  0.0839  0.1724  0.2534  0.21
Uninsky 1971   27  0.5732  0.0012  0.0816  0.3726  0.3718  0.37
Wasowski 1980   47  0.5162  0.0037  0.0544  0.1014  0.3837  0.19
Zak 1937   55  0.4845  0.0057  0.0476  0.0462  0.0573  0.04
Zak 1951   58  0.4742  0.0056  0.0475  0.0462  0.0574  0.04
Random 1   90  -0.0884  0.0090  0.0190  0.0185  0.0290  0.01
Random 2   89  -0.0590  0.0088  0.0289  0.0262  0.0386  0.02
Random 3   88  0.0281  0.0089  0.0288  0.0253  0.0387  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).