Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6656  0.0028  0.0628  0.449  0.5430  0.49
Anderszewski 2003   47  0.5885  0.0054  0.0654  0.0625  0.3463  0.14
Ashkenazy 1981   32  0.6350  0.0021  0.0820  0.4715  0.5131  0.49
Bacha 2000   81  0.4766  0.0068  0.0379  0.0330  0.3578  0.10
Badura 1965   57  0.5531  0.0043  0.0544  0.1113  0.5142  0.24
Barbosa 1983   63  0.5481  0.0046  0.0556  0.0511  0.5354  0.16
Biret 1990   44  0.5862  0.0048  0.0653  0.0622  0.3566  0.14
Blet 2003   20  0.6530  0.0031  0.0724  0.462  0.7513  0.59
Block 1995   46  0.5839  0.0037  0.0940  0.252  0.6938  0.42
Blumental 1952   77  0.4917  0.0076  0.0384  0.0357  0.0488  0.03
Boshniakovich 1969   3  0.702  0.032  0.255  0.652  0.735  0.69
Brailowsky 1960   38  0.6012  0.0053  0.0748  0.072  0.7543  0.23
Bunin 1987   55  0.5563  0.0058  0.0473  0.0412  0.4964  0.14
Bunin 1987b   58  0.5411  0.0056  0.0464  0.049  0.5162  0.14
Chiu 1999   39  0.6022  0.0034  0.0836  0.353  0.7226  0.50
Cohen 1997   88  0.3474  0.0088  0.0465  0.0473  0.0486  0.04
Cortot 1951   74  0.5077  0.0082  0.0558  0.0527  0.3173  0.12
Csalog 1996   73  0.5040  0.0061  0.0476  0.0412  0.5758  0.15
Czerny 1949   50  0.5690  0.0064  0.0559  0.0536  0.2375  0.11
Czerny 1990   6  0.6936  0.0010  0.1510  0.596  0.6810  0.63
Duchoud 2007   54  0.5557  0.0052  0.0846  0.086  0.5747  0.21
Ezaki 2006   15  0.6649  0.0024  0.1033  0.3614  0.4937  0.42
Falvay 1989   56  0.5573  0.0071  0.0460  0.0439  0.1683  0.08
Farrell 1958   67  0.5360  0.0073  0.0380  0.0323  0.3279  0.10
Ferenczy 1958   83  0.4684  0.0086  0.0388  0.0352  0.0487  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   13  0.673  0.013  0.203  0.693  0.694  0.69
Francois 1956   59  0.5475  0.0070  0.0383  0.0332  0.2981  0.09
Friedman 1923   79  0.4846  0.0066  0.0467  0.0411  0.5068  0.14
Friedman 1923b   78  0.4845  0.0065  0.0385  0.0310  0.5370  0.13
Friedman 1930   62  0.5427  0.0055  0.0650  0.064  0.6049  0.19
Garcia 2007   72  0.5137  0.0060  0.0555  0.053  0.7450  0.19
Garcia 2007b   80  0.4826  0.0067  0.0382  0.033  0.6267  0.14
Gierzod 1998   16  0.6658  0.0011  0.1114  0.576  0.5716  0.57
Gornostaeva 1994   19  0.6567  0.0040  0.0938  0.319  0.5839  0.42
Groot 1988   22  0.6547  0.0015  0.149  0.592  0.6711  0.63
Harasiewicz 1955   27  0.646  0.007  0.1211  0.576  0.5320  0.55
Hatto 1993   48  0.5725  0.0020  0.0718  0.497  0.6022  0.54
Hatto 1997   53  0.5579  0.0042  0.0742  0.1515  0.3644  0.23
Horowitz 1949   51  0.5641  0.0059  0.0461  0.0410  0.6153  0.16
Indjic 1988   49  0.5734  0.0032  0.0827  0.447  0.6025  0.51
Kapell 1951   33  0.6259  0.0041  0.1139  0.2621  0.3941  0.32
Kissin 1993   9  0.6813  0.006  0.126  0.634  0.708  0.66
Kushner 1989   4  0.7021  0.0013  0.1112  0.575  0.6312  0.60
Luisada 1991   12  0.6716  0.0014  0.1313  0.572  0.739  0.65
Lushtak 2004   36  0.6144  0.0033  0.0829  0.406  0.5732  0.48
Malcuzynski 1961   24  0.6568  0.0039  0.0837  0.3410  0.5436  0.43
Magaloff 1978   8  0.689  0.005  0.168  0.622  0.707  0.66
Magin 1975   23  0.6543  0.0030  0.0719  0.484  0.6517  0.56
Michalowski 1933   75  0.5054  0.0077  0.0472  0.0424  0.3672  0.12
Milkina 1970   41  0.5952  0.0047  0.0651  0.0629  0.3657  0.15
Mohovich 1999   28  0.6432  0.0036  0.0935  0.3512  0.6333  0.47
Moravec 1969   76  0.5078  0.0080  0.0463  0.0439  0.1782  0.08
Morozova 2008   30  0.637  0.0017  0.1121  0.463  0.5528  0.50
Neighaus 1950   18  0.6653  0.0016  0.1415  0.543  0.6214  0.58
Niedzielski 1931   52  0.5635  0.0062  0.0469  0.047  0.5656  0.15
Ohlsson 1999   10  0.6880  0.0012  0.1016  0.537  0.5719  0.55
Osinska 1989   11  0.6824  0.0018  0.0817  0.498  0.6218  0.55
Pachmann 1927   61  0.5423  0.0063  0.0462  0.043  0.6951  0.17
Paderewski 1930   68  0.5270  0.0078  0.0468  0.048  0.3971  0.12
Perlemuter 1992   31  0.6310  0.0025  0.0722  0.462  0.7015  0.57
Pierdomenico 2008   69  0.5242  0.0075  0.0386  0.0315  0.4374  0.11
Poblocka 1999   5  0.6919  0.009  0.167  0.632  0.716  0.67
Rabcewiczowa 1932   71  0.5129  0.0072  0.0466  0.0443  0.1285  0.07
Rachmaninoff 1923   34  0.6214  0.0019  0.0823  0.463  0.6421  0.54
Rangell 2001   70  0.5264  0.0057  0.0470  0.0410  0.4765  0.14
Richter 1976   25  0.645  0.0027  0.0731  0.392  0.7024  0.52
Rosen 1989   7  0.698  0.008  0.134  0.662  0.773  0.71
Rosenthal 1930   65  0.5371  0.0079  0.0471  0.0416  0.5359  0.15
Rosenthal 1931   86  0.4288  0.0085  0.0475  0.0424  0.4569  0.13
Rosenthal 1931b   85  0.4386  0.0084  0.0381  0.0323  0.4277  0.11
Rosenthal 1931c   66  0.5387  0.0074  0.0474  0.0412  0.6255  0.16
Rosenthal 1931d   84  0.4391  0.0083  0.0387  0.0321  0.4076  0.11
Rossi 2007   87  0.4183  0.0087  0.0378  0.0338  0.1784  0.07
Rubinstein 1939   82  0.4782  0.0081  0.0557  0.0515  0.4261  0.14
Rubinstein 1952   64  0.5428  0.0045  0.0545  0.0916  0.5245  0.22
Rubinstein 1966   37  0.6076  0.0049  0.0747  0.0717  0.5348  0.19
Schilhawsky 1960   26  0.6451  0.0029  0.0730  0.403  0.6029  0.49
Shebanova 2002   2  0.7018  0.004  0.282  0.704  0.722  0.71
Smith 1975   21  0.6538  0.0035  0.1034  0.368  0.5235  0.43
Sokolov 2002   45  0.5833  0.0050  0.0652  0.0624  0.3560  0.14
Sztompka 1959   14  0.674  0.0123  0.0732  0.3912  0.4934  0.44
Tomsic 1995   60  0.5465  0.0069  0.0377  0.0327  0.2980  0.09
Uninsky 1932   43  0.5820  0.0051  0.0649  0.0610  0.5152  0.17
Uninsky 1971   40  0.5948  0.0044  0.0643  0.1121  0.4046  0.21
Wasowski 1980   42  0.5915  0.0038  0.0941  0.217  0.5240  0.33
Zak 1937   29  0.6355  0.0022  0.0725  0.466  0.6223  0.53
Zak 1951   35  0.6269  0.0026  0.0726  0.447  0.5627  0.50
Average   1  0.851  0.871  0.861  0.931  0.801  0.86
Random 1   89  -0.0589  0.0089  0.0289  0.0248  0.0489  0.03
Random 2   91  -0.0872  0.0090  0.0190  0.0183  0.0290  0.01
Random 3   90  -0.0561  0.0091  0.0191  0.0181  0.0291  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).