Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.3455  0.0073  0.0357  0.0362  0.0480  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   6  0.5910  0.036  0.186  0.5618  0.447  0.50
Bacha 2000   62  0.3632  0.0072  0.0375  0.0333  0.2641  0.09
Badura 1965   63  0.3650  0.0068  0.0372  0.0351  0.0563  0.04
Barbosa 1983   79  0.2981  0.0061  0.0371  0.0374  0.0477  0.03
Biret 1990   45  0.4291  0.0046  0.0446  0.0450  0.0566  0.04
Blet 2003   36  0.4372  0.0041  0.0836  0.2061  0.0537  0.10
Block 1995   32  0.4545  0.0038  0.0733  0.2333  0.2030  0.21
Blumental 1952   60  0.3626  0.0023  0.0941  0.1927  0.2431  0.21
Boshniakovich 1969   54  0.3840  0.0071  0.0366  0.0360  0.0483  0.03
Brailowsky 1960   22  0.4827  0.0032  0.0742  0.1829  0.2927  0.23
Bunin 1987   29  0.4685  0.0033  0.0723  0.3239  0.1728  0.23
Bunin 1987b   27  0.4660  0.0028  0.0622  0.3238  0.1826  0.24
Chiu 1999   81  0.2782  0.0083  0.0284  0.0285  0.0388  0.02
Cohen 1997   75  0.3020  0.0151  0.0361  0.0333  0.2250  0.08
Cortot 1951   46  0.4137  0.0049  0.0359  0.0344  0.1059  0.05
Csalog 1996   87  0.1746  0.0084  0.0376  0.0346  0.0758  0.05
Czerny 1949   50  0.4083  0.0026  0.0635  0.2135  0.2429  0.22
Czerny 1990   31  0.4564  0.0040  0.0829  0.2446  0.0732  0.13
Duchoud 2007   12  0.5528  0.0013  0.1415  0.4927  0.3915  0.44
Ezaki 2006   19  0.4951  0.0031  0.0626  0.2850  0.0533  0.12
Falvay 1989   61  0.3673  0.0044  0.0444  0.1168  0.0453  0.07
Farrell 1958   48  0.4089  0.0065  0.0378  0.0349  0.0470  0.03
Ferenczy 1958   23  0.487  0.0421  0.1021  0.3410  0.4817  0.40
Fliere 1977   40  0.4357  0.0063  0.0281  0.0276  0.0467  0.03
Fou 1978   64  0.3641  0.0058  0.0363  0.0362  0.0471  0.03
Francois 1956   59  0.3613  0.0234  0.0737  0.1967  0.0351  0.08
Friedman 1923   85  0.1886  0.0087  0.0290  0.0262  0.0586  0.03
Friedman 1923b   86  0.1784  0.0088  0.0373  0.0357  0.0564  0.04
Friedman 1930   77  0.3058  0.0078  0.0447  0.0463  0.0462  0.04
Garcia 2007   76  0.3036  0.0067  0.0374  0.0316  0.4435  0.11
Garcia 2007b   82  0.2534  0.0081  0.0379  0.0330  0.2648  0.09
Gierzod 1998   13  0.559  0.0316  0.174  0.587  0.456  0.51
Gornostaeva 1994   18  0.4915  0.0130  0.0628  0.2566  0.0439  0.10
Groot 1988   66  0.3567  0.0055  0.0369  0.0352  0.0484  0.03
Harasiewicz 1955   20  0.494  0.079  0.2010  0.5210  0.4210  0.47
Hatto 1993   8  0.593  0.083  0.217  0.5411  0.524  0.53
Hatto 1997   4  0.602  0.162  0.152  0.636  0.551  0.59
Horowitz 1949   71  0.3356  0.0076  0.0360  0.0378  0.0374  0.03
Indjic 1988   11  0.5649  0.004  0.158  0.539  0.505  0.51
Kapell 1951   10  0.5711  0.0210  0.165  0.5710  0.523  0.54
Kissin 1993   68  0.3444  0.0062  0.0377  0.0370  0.0476  0.03
Kushner 1989   14  0.5233  0.0022  0.0924  0.3149  0.0534  0.12
Luisada 1991   5  0.6031  0.008  0.169  0.5210  0.468  0.49
Lushtak 2004   39  0.4321  0.0119  0.1818  0.4732  0.2719  0.36
Malcuzynski 1961   25  0.4790  0.0037  0.0631  0.2462  0.0436  0.10
Magaloff 1978   28  0.4639  0.0039  0.0639  0.1956  0.0443  0.09
Magin 1975   2  0.625  0.075  0.2612  0.5114  0.4014  0.45
Michalowski 1933   30  0.4647  0.0015  0.1616  0.4812  0.4511  0.46
Milkina 1970   34  0.4435  0.0060  0.0358  0.0366  0.0473  0.03
Mohovich 1999   21  0.4824  0.0120  0.1020  0.3528  0.2722  0.31
Moravec 1969   56  0.3716  0.0145  0.0545  0.1049  0.0552  0.07
Morozova 2008   24  0.4753  0.0024  0.1034  0.2255  0.0446  0.09
Neighaus 1950   43  0.4277  0.0036  0.0632  0.2369  0.0440  0.10
Niedzielski 1931   53  0.3868  0.0054  0.0368  0.0321  0.2744  0.09
Ohlsson 1999   9  0.5829  0.0012  0.1017  0.4831  0.2320  0.33
Osinska 1989   65  0.3576  0.0077  0.0367  0.0366  0.0468  0.03
Pachmann 1927   88  0.1243  0.0082  0.0289  0.0265  0.0475  0.03
Paderewski 1930   44  0.4248  0.0059  0.0362  0.0338  0.1554  0.07
Perlemuter 1992   57  0.3762  0.0042  0.0640  0.1957  0.0442  0.09
Pierdomenico 2008   80  0.2759  0.0085  0.0287  0.0273  0.0389  0.02
Poblocka 1999   15  0.5119  0.0117  0.1011  0.5121  0.3216  0.40
Rabcewiczowa 1932   49  0.4063  0.0064  0.0282  0.0244  0.1357  0.05
Rachmaninoff 1923   70  0.3378  0.0070  0.0353  0.0370  0.0469  0.03
Rangell 2001   47  0.4017  0.0153  0.0449  0.0463  0.0465  0.04
Richter 1976   35  0.4469  0.0035  0.0627  0.2725  0.3123  0.29
Rosen 1989   52  0.3887  0.0074  0.0355  0.0369  0.0482  0.03
Rosenthal 1930   42  0.4338  0.0057  0.0365  0.0356  0.0481  0.03
Rosenthal 1931   26  0.466  0.0527  0.0630  0.2416  0.4621  0.33
Rosenthal 1931b   37  0.4314  0.0129  0.0638  0.1916  0.4524  0.29
Rosenthal 1931c   38  0.4342  0.0056  0.0352  0.0337  0.1855  0.07
Rosenthal 1931d   58  0.3779  0.0047  0.0448  0.0429  0.1947  0.09
Rossi 2007   84  0.1874  0.0086  0.0286  0.0264  0.0387  0.02
Rubinstein 1939   72  0.3225  0.0052  0.0356  0.0333  0.2449  0.08
Rubinstein 1952   83  0.2270  0.0079  0.0380  0.0375  0.0385  0.03
Rubinstein 1966   33  0.4418  0.0150  0.0364  0.0364  0.0561  0.04
Schilhawsky 1960   17  0.5023  0.0111  0.1419  0.4613  0.499  0.47
Shebanova 2002   74  0.3152  0.0080  0.0354  0.0375  0.0479  0.03
Smith 1975   3  0.6112  0.027  0.163  0.607  0.512  0.55
Sokolov 2002   7  0.5971  0.0014  0.2014  0.5015  0.4113  0.45
Sztompka 1959   51  0.4065  0.0048  0.0351  0.0355  0.0560  0.04
Tomsic 1995   41  0.438  0.0325  0.0725  0.3028  0.2225  0.26
Uninsky 1932   67  0.3475  0.0066  0.0285  0.0253  0.0578  0.03
Uninsky 1971   16  0.5022  0.0118  0.1313  0.5121  0.4212  0.46
Wasowski 1980   55  0.3861  0.0069  0.0370  0.0344  0.1356  0.06
Zak 1937   78  0.3066  0.0075  0.0350  0.0366  0.0472  0.03
Zak 1951   73  0.3254  0.0043  0.0543  0.1247  0.0745  0.09
Average   1  0.631  0.211  0.211  0.6437  0.2018  0.36
Random 1   91  -0.0680  0.0091  0.0191  0.0174  0.0391  0.02
Random 2   90  -0.0188  0.0090  0.0288  0.0272  0.0390  0.02
Random 3   89  0.1130  0.0089  0.0283  0.026  0.4738  0.10

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).