Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  -0.0850  0.0018  0.0521  0.2288  0.0219  0.07
Anderszewski 2003   67  -0.1246  0.0075  0.0280  0.0290  0.0269  0.02
Ashkenazy 1981   15  -0.0266  0.0025  0.0526  0.2090  0.0228  0.06
Bacha 2000   37  -0.0732  0.0049  0.0460  0.0490  0.0244  0.03
Badura 1965   3  0.033  0.182  0.213  0.5686  0.028  0.11
Barbosa 1983   32  -0.0620  0.0141  0.0538  0.1189  0.0153  0.03
Biret 1990   16  -0.0340  0.0047  0.0547  0.0590  0.0256  0.03
Blet 2003   78  -0.1567  0.0055  0.0459  0.0489  0.0254  0.03
Block 1995   86  -0.2083  0.0083  0.0378  0.0391  0.0173  0.02
Blumental 1952   13  -0.0242  0.0015  0.0530  0.1890  0.0227  0.06
Boshniakovich 1969   72  -0.1259  0.0032  0.0436  0.1589  0.0142  0.04
Brailowsky 1960   79  -0.1622  0.0173  0.0377  0.0389  0.0261  0.02
Bunin 1987   44  -0.0861  0.0021  0.0527  0.2090  0.0143  0.04
Bunin 1987b   39  -0.0810  0.0220  0.0624  0.2190  0.0135  0.05
Chiu 1999   30  -0.0633  0.0023  0.0619  0.2389  0.0217  0.07
Cohen 1997   7  0.0017  0.0114  0.0815  0.2785  0.0312  0.09
Cortot 1951   51  -0.1036  0.0048  0.0462  0.0491  0.0178  0.02
Csalog 1996   48  -0.1089  0.0057  0.0365  0.0389  0.0168  0.02
Czerny 1949   49  -0.1065  0.0064  0.0451  0.0489  0.0255  0.03
Czerny 1990   62  -0.1158  0.0071  0.0371  0.0390  0.0275  0.02
Duchoud 2007   11  -0.019  0.0210  0.109  0.4190  0.0211  0.09
Ezaki 2006   75  -0.1454  0.0074  0.0374  0.0390  0.0259  0.02
Falvay 1989   87  -0.2053  0.0087  0.0282  0.0290  0.0183  0.01
Farrell 1958   46  -0.0945  0.0067  0.0368  0.0389  0.0262  0.02
Ferenczy 1958   89  -0.2139  0.0082  0.0281  0.0290  0.0187  0.01
Fliere 1977   43  -0.0857  0.0042  0.0540  0.1189  0.0231  0.05
Fou 1978   65  -0.1273  0.0054  0.0364  0.0389  0.0163  0.02
Francois 1956   55  -0.1135  0.0060  0.0455  0.0489  0.0258  0.03
Friedman 1923   19  -0.0455  0.0038  0.0518  0.2385  0.0221  0.07
Friedman 1923b   18  -0.0438  0.0039  0.0820  0.2287  0.0137  0.05
Friedman 1930   10  0.0011  0.0217  0.0613  0.3590  0.0215  0.08
Garcia 2007   77  -0.1551  0.0072  0.0372  0.0389  0.0171  0.02
Garcia 2007b   82  -0.1826  0.0180  0.0283  0.0291  0.0191  0.01
Gierzod 1998   35  -0.0784  0.0044  0.0441  0.1089  0.0241  0.04
Gornostaeva 1994   85  -0.2075  0.0085  0.0287  0.0291  0.0189  0.01
Groot 1988   64  -0.1272  0.0079  0.0285  0.0290  0.0190  0.01
Harasiewicz 1955   81  -0.1747  0.0078  0.0379  0.0390  0.0179  0.02
Hatto 1993   2  0.044  0.055  0.144  0.5286  0.037  0.12
Hatto 1997   5  0.0179  0.007  0.246  0.4889  0.035  0.12
Horowitz 1949   26  -0.0528  0.0046  0.0546  0.0588  0.0252  0.03
Indjic 1988   4  0.0285  0.006  0.265  0.5087  0.033  0.12
Kapell 1951   69  -0.1214  0.0162  0.0366  0.0390  0.0264  0.02
Kissin 1993   60  -0.1182  0.0036  0.0528  0.1889  0.0225  0.06
Kushner 1989   68  -0.1280  0.0059  0.0450  0.0490  0.0249  0.03
Luisada 1991   71  -0.1241  0.0069  0.0463  0.0489  0.0245  0.03
Lushtak 2004   74  -0.1369  0.0065  0.0370  0.0390  0.0272  0.02
Malcuzynski 1961   84  -0.1963  0.0086  0.0286  0.0291  0.0185  0.01
Magaloff 1978   20  -0.0421  0.0126  0.0529  0.1889  0.0223  0.06
Magin 1975   47  -0.0913  0.0234  0.0431  0.1790  0.0139  0.04
Michalowski 1933   9  0.0015  0.0116  0.0714  0.3090  0.0214  0.08
Milkina 1970   50  -0.1044  0.0068  0.0457  0.0491  0.0165  0.02
Mohovich 1999   83  -0.1962  0.0088  0.0189  0.0190  0.0188  0.01
Moravec 1969   41  -0.0827  0.0037  0.0534  0.1690  0.0222  0.06
Morozova 2008   23  -0.0468  0.009  0.0910  0.3886  0.0210  0.09
Neighaus 1950   70  -0.1290  0.0077  0.0369  0.0389  0.0177  0.02
Niedzielski 1931   52  -0.108  0.0231  0.0443  0.0989  0.0238  0.04
Ohlsson 1999   14  -0.0260  0.0013  0.0811  0.3690  0.0213  0.08
Osinska 1989   61  -0.116  0.0353  0.0461  0.0490  0.0246  0.03
Pachmann 1927   33  -0.062  0.193  0.312  0.5783  0.032  0.13
Paderewski 1930   6  0.015  0.038  0.137  0.4786  0.029  0.10
Perlemuter 1992   80  -0.1634  0.0084  0.0367  0.0390  0.0160  0.02
Pierdomenico 2008   54  -0.1029  0.0033  0.0435  0.1590  0.0234  0.05
Poblocka 1999   58  -0.1156  0.0019  0.0537  0.1389  0.0232  0.05
Rabcewiczowa 1932   8  0.0030  0.0024  0.0522  0.2289  0.0218  0.07
Rachmaninoff 1923   28  -0.0619  0.0140  0.0539  0.1188  0.0233  0.05
Rangell 2001   31  -0.0624  0.0152  0.0454  0.0490  0.0176  0.02
Richter 1976   76  -0.1412  0.0212  0.0733  0.1789  0.0224  0.06
Rosen 1989   66  -0.1286  0.0070  0.0373  0.0390  0.0274  0.02
Rosenthal 1930   21  -0.0425  0.0128  0.0516  0.2589  0.0220  0.07
Rosenthal 1931   59  -0.1170  0.0058  0.0453  0.0489  0.0167  0.02
Rosenthal 1931b   38  -0.0788  0.0035  0.0432  0.1789  0.0230  0.06
Rosenthal 1931c   34  -0.0677  0.0050  0.0458  0.0489  0.0180  0.02
Rosenthal 1931d   36  -0.0731  0.0027  0.0623  0.2188  0.0229  0.06
Rossi 2007   88  -0.2078  0.0091  0.0191  0.0191  0.0182  0.01
Rubinstein 1939   40  -0.0823  0.0163  0.0548  0.0589  0.0248  0.03
Rubinstein 1952   22  -0.0452  0.0051  0.0456  0.0487  0.0257  0.03
Rubinstein 1966   25  -0.0574  0.0045  0.0445  0.0889  0.0240  0.04
Schilhawsky 1960   17  -0.037  0.034  0.148  0.4688  0.034  0.12
Shebanova 2002   27  -0.0676  0.0030  0.0525  0.2189  0.0226  0.06
Smith 1975   90  -0.2364  0.0090  0.0188  0.0190  0.0284  0.01
Sokolov 2002   12  -0.0149  0.0043  0.0344  0.0890  0.0147  0.03
Sztompka 1959   53  -0.1071  0.0076  0.0376  0.0390  0.0266  0.02
Tomsic 1995   91  -0.2537  0.0089  0.0190  0.0191  0.0186  0.01
Uninsky 1932   29  -0.0618  0.0111  0.1012  0.3589  0.0216  0.08
Uninsky 1971   42  -0.0848  0.0022  0.0517  0.2590  0.0136  0.05
Wasowski 1980   73  -0.1343  0.0081  0.0284  0.0291  0.0181  0.01
Zak 1937   57  -0.1191  0.0056  0.0452  0.0489  0.0250  0.03
Zak 1951   56  -0.1187  0.0061  0.0449  0.0489  0.0251  0.03
Average   63  -0.1181  0.0066  0.0375  0.0389  0.0270  0.02
Random 1   1  0.051  0.201  0.201  0.591  0.711  0.65
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   24  -0.0516  0.0129  0.0542  0.0935  0.166  0.12

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).