Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.916  0.054  0.222  0.641  0.714  0.67
Anderszewski 2003   16  0.8534  0.0033  0.0634  0.242  0.6035  0.38
Ashkenazy 1981   36  0.8140  0.0029  0.0724  0.301  0.6425  0.44
Bacha 2000   60  0.7488  0.0052  0.0455  0.041  0.5954  0.15
Badura 1965   54  0.768  0.0257  0.0461  0.048  0.5760  0.15
Barbosa 1983   76  0.6143  0.0071  0.0554  0.059  0.4457  0.15
Biret 1990   34  0.8136  0.0035  0.0636  0.221  0.7434  0.40
Blet 2003   48  0.7879  0.0056  0.0457  0.042  0.5068  0.14
Block 1995   68  0.6775  0.0067  0.0462  0.041  0.5761  0.15
Blumental 1952   50  0.7816  0.0034  0.0738  0.172  0.5739  0.31
Boshniakovich 1969   28  0.8226  0.0014  0.0831  0.261  0.6333  0.40
Brailowsky 1960   52  0.7727  0.0070  0.0650  0.062  0.6547  0.20
Bunin 1987   83  0.5789  0.0078  0.0382  0.0323  0.3982  0.11
Bunin 1987b   86  0.5583  0.0077  0.0379  0.0323  0.3979  0.11
Chiu 1999   57  0.7560  0.0049  0.0471  0.041  0.5955  0.15
Cohen 1997   88  0.5155  0.0088  0.0465  0.0422  0.3081  0.11
Cortot 1951   44  0.7965  0.0055  0.0648  0.062  0.6249  0.19
Csalog 1996   85  0.5669  0.0063  0.0469  0.0410  0.4174  0.13
Czerny 1949   25  0.8310  0.0118  0.0620  0.351  0.6820  0.49
Czerny 1990   6  0.8842  0.0021  0.0615  0.411  0.6815  0.53
Duchoud 2007   69  0.6761  0.0068  0.0553  0.055  0.5052  0.16
Ezaki 2006   8  0.8872  0.0024  0.0726  0.301  0.6923  0.45
Falvay 1989   74  0.6357  0.0087  0.0377  0.0334  0.3778  0.11
Farrell 1958   46  0.7912  0.0119  0.0735  0.221  0.7232  0.40
Ferenczy 1958   61  0.7429  0.0060  0.0464  0.046  0.4969  0.14
Fliere 1977   1  0.922  0.203  0.321  0.681  0.761  0.72
Fou 1978   22  0.8452  0.0025  0.0832  0.261  0.6628  0.41
Francois 1956   56  0.7525  0.0061  0.0473  0.043  0.5663  0.15
Friedman 1923   32  0.8171  0.0051  0.0551  0.0510  0.5353  0.16
Friedman 1923b   38  0.8138  0.0048  0.0467  0.0410  0.5562  0.15
Friedman 1930   30  0.8280  0.0054  0.0458  0.0410  0.5359  0.15
Garcia 2007   20  0.8450  0.0036  0.0637  0.192  0.6637  0.35
Garcia 2007b   37  0.8176  0.0032  0.0629  0.273  0.6627  0.42
Gierzod 1998   7  0.8814  0.016  0.155  0.541  0.746  0.63
Gornostaeva 1994   49  0.7818  0.0042  0.0545  0.131  0.6644  0.29
Groot 1988   65  0.727  0.0417  0.0640  0.152  0.6241  0.30
Harasiewicz 1955   13  0.8615  0.0113  0.1011  0.451  0.6813  0.55
Hatto 1993   41  0.8056  0.0039  0.1328  0.295  0.6026  0.42
Hatto 1997   29  0.8247  0.0038  0.1125  0.306  0.5631  0.41
Horowitz 1949   58  0.7584  0.0066  0.0374  0.034  0.5672  0.13
Indjic 1988   27  0.8253  0.0037  0.0827  0.306  0.5729  0.41
Kapell 1951   40  0.804  0.065  0.178  0.501  0.6310  0.56
Kissin 1993   11  0.8611  0.019  0.136  0.531  0.745  0.63
Kushner 1989   12  0.8613  0.0127  0.0719  0.351  0.7117  0.50
Luisada 1991   10  0.8617  0.0011  0.1113  0.421  0.7211  0.55
Lushtak 2004   33  0.8177  0.0045  0.0744  0.131  0.5445  0.26
Malcuzynski 1961   72  0.6570  0.0073  0.0470  0.045  0.5065  0.14
Magaloff 1978   62  0.7432  0.0065  0.0460  0.042  0.5756  0.15
Magin 1975   35  0.8128  0.0022  0.0614  0.411  0.7214  0.54
Michalowski 1933   59  0.7581  0.0059  0.0472  0.0412  0.5067  0.14
Milkina 1970   17  0.8537  0.0020  0.0823  0.321  0.7022  0.47
Mohovich 1999   23  0.8319  0.0031  0.0816  0.411  0.7512  0.55
Moravec 1969   75  0.6235  0.0085  0.0285  0.0219  0.4486  0.09
Morozova 2008   24  0.8348  0.0026  0.0630  0.261  0.6630  0.41
Neighaus 1950   18  0.8524  0.0015  0.1112  0.433  0.6016  0.51
Niedzielski 1931   45  0.7958  0.0044  0.0541  0.144  0.6043  0.29
Ohlsson 1999   31  0.8231  0.0028  0.0621  0.333  0.6224  0.45
Osinska 1989   5  0.8822  0.0012  0.117  0.501  0.757  0.61
Pachmann 1927   67  0.7178  0.0080  0.0383  0.0310  0.4280  0.11
Paderewski 1930   53  0.7786  0.0058  0.0376  0.031  0.6166  0.14
Perlemuter 1992   19  0.8446  0.0016  0.0722  0.321  0.6821  0.47
Pierdomenico 2008   84  0.5773  0.0079  0.0287  0.0213  0.4287  0.09
Poblocka 1999   51  0.7759  0.0030  0.0633  0.257  0.5536  0.37
Rabcewiczowa 1932   47  0.7833  0.0053  0.0456  0.042  0.5264  0.14
Rachmaninoff 1923   15  0.855  0.0610  0.1117  0.391  0.6219  0.49
Rangell 2001   87  0.5287  0.0074  0.0463  0.045  0.4970  0.14
Richter 1976   73  0.6362  0.0075  0.0381  0.0322  0.4676  0.12
Rosen 1989   21  0.8466  0.0023  0.0618  0.381  0.6718  0.50
Rosenthal 1930   71  0.6663  0.0072  0.0649  0.066  0.5450  0.18
Rosenthal 1931   78  0.6167  0.0084  0.0375  0.0311  0.5077  0.12
Rosenthal 1931b   77  0.6185  0.0083  0.0284  0.0210  0.5285  0.10
Rosenthal 1931c   81  0.5939  0.0076  0.0378  0.0314  0.4383  0.11
Rosenthal 1931d   79  0.6068  0.0082  0.0288  0.0211  0.5184  0.10
Rossi 2007   70  0.6623  0.0081  0.0286  0.0222  0.3388  0.08
Rubinstein 1939   63  0.7364  0.0069  0.0552  0.055  0.5151  0.16
Rubinstein 1952   82  0.5820  0.0064  0.0468  0.0412  0.4971  0.14
Rubinstein 1966   55  0.7521  0.0062  0.0466  0.043  0.5658  0.15
Schilhawsky 1960   43  0.8030  0.0040  0.0539  0.171  0.6638  0.33
Shebanova 2002   4  0.893  0.192  0.233  0.631  0.752  0.69
Smith 1975   39  0.8154  0.0043  0.0543  0.131  0.7140  0.30
Sokolov 2002   64  0.739  0.0147  0.0647  0.061  0.6348  0.19
Sztompka 1959   3  0.901  0.231  0.234  0.621  0.733  0.67
Tomsic 1995   80  0.5951  0.0086  0.0380  0.0319  0.4575  0.12
Uninsky 1932   42  0.8074  0.0046  0.0846  0.086  0.5346  0.21
Uninsky 1971   66  0.7244  0.0050  0.0459  0.0421  0.4273  0.13
Wasowski 1980   26  0.8249  0.0041  0.0542  0.141  0.6042  0.29
Zak 1937   9  0.8745  0.007  0.129  0.472  0.708  0.57
Zak 1951   14  0.8541  0.008  0.1610  0.462  0.709  0.57
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   91  -0.2882  0.0090  0.0190  0.0180  0.0290  0.01
Random 2   89  -0.1290  0.0089  0.0189  0.0149  0.0489  0.02
Random 3   90  -0.2091  0.0091  0.0191  0.0177  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).