Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6418  0.0115  0.1119  0.4016  0.4317  0.41
Anderszewski 2003   50  0.4922  0.0055  0.0466  0.0428  0.2550  0.10
Ashkenazy 1981   58  0.4676  0.0067  0.0455  0.0474  0.0477  0.04
Bacha 2000   69  0.4354  0.0078  0.0380  0.0366  0.0378  0.03
Badura 1965   68  0.4482  0.0058  0.0463  0.0429  0.2752  0.10
Barbosa 1983   64  0.4483  0.0054  0.0370  0.0344  0.1161  0.06
Biret 1990   18  0.6311  0.0218  0.0721  0.3523  0.4223  0.38
Blet 2003   56  0.4843  0.0063  0.0462  0.0442  0.1356  0.07
Block 1995   21  0.6047  0.0027  0.0825  0.3212  0.4422  0.38
Blumental 1952   82  0.2741  0.0085  0.0376  0.0372  0.0386  0.03
Boshniakovich 1969   20  0.6127  0.0020  0.0720  0.3916  0.5214  0.45
Brailowsky 1960   30  0.5742  0.0034  0.0738  0.1730  0.2640  0.21
Bunin 1987   41  0.5357  0.0052  0.0456  0.0450  0.0669  0.05
Bunin 1987b   40  0.5351  0.0053  0.0746  0.0751  0.0659  0.06
Chiu 1999   74  0.4188  0.0060  0.0551  0.0546  0.0665  0.05
Cohen 1997   78  0.337  0.0421  0.0744  0.1234  0.2045  0.15
Cortot 1951   49  0.5033  0.0046  0.0461  0.0438  0.1954  0.09
Csalog 1996   73  0.4152  0.0080  0.0377  0.0354  0.0674  0.04
Czerny 1949   10  0.699  0.036  0.147  0.619  0.664  0.63
Czerny 1990   19  0.6148  0.0038  0.0735  0.2127  0.2537  0.23
Duchoud 2007   38  0.5434  0.0047  0.0547  0.0537  0.2051  0.10
Ezaki 2006   8  0.7113  0.0110  0.196  0.6110  0.528  0.56
Falvay 1989   26  0.5829  0.0032  0.0829  0.2627  0.2335  0.24
Farrell 1958   39  0.5458  0.0022  0.0534  0.2224  0.3331  0.27
Ferenczy 1958   67  0.4450  0.0079  0.0371  0.0347  0.0768  0.05
Fliere 1977   16  0.6624  0.0023  0.0918  0.4126  0.2825  0.34
Fou 1978   33  0.5538  0.0017  0.0815  0.4225  0.3819  0.40
Francois 1956   7  0.711  0.181  0.178  0.607  0.567  0.58
Friedman 1923   87  0.1689  0.0081  0.0379  0.0337  0.1463  0.06
Friedman 1923b   88  0.1684  0.0082  0.0381  0.0340  0.1262  0.06
Friedman 1930   77  0.3631  0.0064  0.0452  0.0431  0.2948  0.11
Garcia 2007   83  0.2277  0.0086  0.0383  0.0380  0.0385  0.03
Garcia 2007b   86  0.1990  0.0088  0.0287  0.0280  0.0291  0.02
Gierzod 1998   25  0.5853  0.0037  0.0833  0.2324  0.2436  0.23
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   12  0.6845  0.0011  0.1513  0.5012  0.4813  0.49
Harasiewicz 1955   42  0.5317  0.0112  0.1314  0.4412  0.3918  0.41
Hatto 1993   84  0.2273  0.0083  0.0284  0.0282  0.0390  0.02
Hatto 1997   80  0.3166  0.0073  0.0374  0.0380  0.0383  0.03
Horowitz 1949   54  0.4861  0.0061  0.0454  0.0461  0.0472  0.04
Indjic 1988   85  0.2185  0.0084  0.0285  0.0282  0.0388  0.02
Kapell 1951   46  0.5186  0.0071  0.0465  0.0455  0.0570  0.04
Kissin 1993   31  0.5744  0.0031  0.0632  0.2431  0.3032  0.27
Kushner 1989   11  0.6878  0.0026  0.0630  0.2614  0.4227  0.33
Luisada 1991   43  0.5362  0.0062  0.0468  0.0450  0.0664  0.05
Lushtak 2004   60  0.4559  0.0050  0.0457  0.0468  0.0476  0.04
Malcuzynski 1961   5  0.7216  0.017  0.1610  0.5812  0.4712  0.52
Magaloff 1978   3  0.726  0.058  0.189  0.587  0.4711  0.52
Magin 1975   44  0.5363  0.0042  0.0643  0.1425  0.2542  0.19
Michalowski 1933   79  0.3255  0.0070  0.0373  0.0354  0.0573  0.04
Milkina 1970   29  0.5774  0.0036  0.0724  0.3327  0.3229  0.32
Mohovich 1999   14  0.6710  0.0213  0.1512  0.5110  0.5610  0.53
Moravec 1969   53  0.4930  0.0068  0.0460  0.0439  0.1255  0.07
Morozova 2008   35  0.5435  0.0033  0.0923  0.3318  0.3230  0.32
Neighaus 1950   9  0.694  0.124  0.185  0.665  0.605  0.63
Niedzielski 1931   75  0.3979  0.0087  0.0288  0.0275  0.0387  0.02
Ohlsson 1999   23  0.5914  0.0124  0.0736  0.1944  0.1244  0.15
Osinska 1989   4  0.728  0.049  0.183  0.703  0.782  0.74
Pachmann 1927   76  0.3787  0.0056  0.0372  0.0345  0.1067  0.05
Paderewski 1930   52  0.4967  0.0072  0.0550  0.0550  0.0566  0.05
Perlemuter 1992   36  0.5436  0.0029  0.0627  0.2821  0.4126  0.34
Pierdomenico 2008   47  0.5168  0.0048  0.0464  0.0425  0.2449  0.10
Poblocka 1999   34  0.5437  0.0069  0.0369  0.0359  0.0480  0.03
Rabcewiczowa 1932   13  0.6719  0.0114  0.1011  0.544  0.726  0.62
Rachmaninoff 1923   55  0.4839  0.0039  0.0539  0.1730  0.2641  0.21
Rangell 2001   22  0.5940  0.0019  0.0616  0.4215  0.3920  0.40
Richter 1976   71  0.4364  0.0074  0.0286  0.0255  0.0481  0.03
Rosen 1989   2  0.732  0.163  0.222  0.763  0.751  0.75
Rosenthal 1930   27  0.5825  0.0035  0.0628  0.279  0.5721  0.39
Rosenthal 1931   57  0.4675  0.0043  0.0741  0.1412  0.5333  0.27
Rosenthal 1931b   63  0.4469  0.0049  0.0548  0.0515  0.4646  0.15
Rosenthal 1931c   28  0.5880  0.0028  0.0722  0.3310  0.6115  0.45
Rosenthal 1931d   51  0.4921  0.0051  0.0453  0.0416  0.3847  0.12
Rossi 2007   59  0.4623  0.0041  0.0642  0.146  0.4834  0.26
Rubinstein 1939   81  0.3026  0.0045  0.0545  0.1030  0.2843  0.17
Rubinstein 1952   45  0.5215  0.0144  0.0640  0.1625  0.3139  0.22
Rubinstein 1966   37  0.5446  0.0040  0.0531  0.248  0.5124  0.35
Schilhawsky 1960   65  0.4470  0.0076  0.0378  0.0380  0.0382  0.03
Shebanova 2002   61  0.4432  0.0075  0.0382  0.0371  0.0484  0.03
Smith 1975   6  0.715  0.075  0.234  0.683  0.633  0.65
Sokolov 2002   15  0.6612  0.0216  0.0817  0.4213  0.4216  0.42
Sztompka 1959   48  0.5149  0.0065  0.0549  0.0539  0.1753  0.09
Tomsic 1995   24  0.5928  0.0030  0.0726  0.3118  0.3528  0.33
Uninsky 1932   72  0.4256  0.0066  0.0459  0.0452  0.0575  0.04
Uninsky 1971   32  0.5520  0.0025  0.0737  0.1837  0.2638  0.22
Wasowski 1980   62  0.4465  0.0077  0.0375  0.0364  0.0479  0.03
Zak 1937   70  0.4371  0.0059  0.0467  0.0467  0.0471  0.04
Zak 1951   66  0.4472  0.0057  0.0458  0.0446  0.0860  0.06
Average   1  0.783  0.142  0.241  0.7715  0.409  0.55
Random 1   91  -0.0291  0.0091  0.0191  0.0150  0.0489  0.02
Random 2   90  0.0081  0.0090  0.0289  0.0227  0.2357  0.07
Random 3   89  0.0460  0.0089  0.0290  0.0232  0.2458  0.07

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).